United Kingdom · Technology and data · Director/VP (16-20 years)

Director of Data Infrastructure

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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Experience bandDirector/VP (16-20 years)
Direct reports25-100+ reports
Reports toVP of Engineering
UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as VP of Data Platforms · Head of Real-time Systems · Director of Engineering, Data Services

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

Pearson BTEC Level 5 Higher National Diploma in Cloud Computing Pearson Education Ltd · Level 5 · covers 1 of 4 standards

EAL Level 4 Diploma in Rail Engineering Advanced Technician Competence Excellence, Achievement & Learning Limited · Level 4 · covers 2 of 4 standards

EAL Level 2 Certificate In Engineering Technologies Excellence, Achievement & Learning Limited · Level 2 · covers 1 of 4 standards

EAL Level 2 Diploma In Engineering Technologies Excellence, Achievement & Learning Limited · Level 2 · covers 1 of 4 standards

EAL Level 2 Certificate in Engineering Operations (Knowledge) Excellence, Achievement & Learning Limited · Level 2 · covers 1 of 4 standards

EAL Level 2 First Certificate in Engineering Technology Excellence, Achievement & Learning Limited · Level 2 · covers 1 of 4 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Software Development Methodologies in the Cloud Pearson BTEC Level 5 Higher National Diploma in Cloud Computing

Leading workplace organisation activities EAL Level 4 Diploma in Rail Engineering Advanced Technician Competence

Leading a team in Engineering EAL Level 2 Certificate In Engineering Technologies

The future skills this job leans on

AI Fluency working with AI as a thinking partner

Data Fluency turning numbers into a decision

AI Governance Fluency using AI responsibly

Automation Fluency building AI into how work runs

Systems Fluency seeing the whole picture

Your Plan Illustration

Built for Director of Data Infrastructure

3 units that map to this job, from the qualifications that cover it.

Software Development Methodologies in the Cloud Pearson Education Ltd · covers 1 of 4 standards Level 5
Leading workplace organisation activities Excellence, Achievement & Learning Limited · covers 2 of 4 standards Level 4
Leading a team in Engineering Excellence, Achievement & Learning Limited · covers 1 of 4 standards Level 2

These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Director of Data Infrastructure?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

AI-Driven Infrastructure Optimisation & AIOps
FinOps for Cloud Data Infrastructure

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
AI Governance Fluencyusing AI responsibly
Automation Fluencybuilding AI into how work runs
Systems Fluencyseeing the whole picture

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Director of Data Infrastructure plan as you set up, starting with the free Automation Fluency module. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

A Director of Data Infrastructure sets the strategy for real-time data systems and oversees their scale and reliability across a product division.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Redis Core (Internals & Modules) Architect

Evaluating and implementing Redis Modules (RediSearch, RedisJSON, RedisGraph) for new product capabilities; deep understanding of Redis internals (event loop, memory allocation) to guide complex architectural decisions and troubleshoot the toughest problems.

Cloud Platforms (AWS/GCP/Azure) Strategic

Leading cloud provider selection and negotiation; designing multi-region/multi-cloud disaster recovery strategies for all data services; optimising enterprise-wide cloud spend for Redis and related infrastructure.

Container Orchestration (Kubernetes) Architect

Setting the company-wide strategy for running stateful services on Kubernetes; designing and potentially building custom Kubernetes Operators for specialised Redis deployments; making high-level decisions on containerisation strategy.

Observability Platforms (Grafana, Datadog, Prometheus) Strategic

Selecting and implementing the enterprise observability platform; defining SLIs/SLOs for all data services across the business unit; integrating observability data with business KPIs to drive strategic decisions.

Infrastructure as Code (Terraform, Ansible) Architect

Designing the overall Infrastructure as Code framework for the organisation; implementing policy-as-code (e.g., Sentinel, OPA) to enforce standards and ensure compliance across all infrastructure deployments.

Programming Libraries (Python, Java, Node.js) Strategic

Contributing to or maintaining shared data access libraries for the engineering organisation; setting standards for Redis client configuration and usage; guiding application teams on optimal interaction patterns with Redis at scale.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choice	Coming in	Where you are now	The step above
Strategic Platform Direction (e.g., adopting a new real-time database)	No involvement; perhaps consumes information.	Provides feedback on potential operational impact.	Researches and recommends options, provides detailed technical assessment.
Annual Budget Allocation for Data Infrastructure	No involvement.	Provides input on specific tooling needs for their projects.	Estimates costs for their workstreams, identifies potential savings.
Organisational Design & Key Hires within Data Infrastructure	No involvement.	Participates in interview loops for junior roles.	Interviews for senior IC roles, provides feedback on team structure.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Business Enablement

The number of major product features or initiatives launched that significantly rely on the real-time data infrastructure you oversee.

Target · Enable the launch of 3+ major product features per year that rely on real-time data infrastructure.

Successfully supported the launch of the new real-time recommendation engine and the instant inventory update system in Q2, both heavily reliant on Redis Streams and caching.

Platform Adoption

The percentage increase in internal development teams using your standardised Redis platform and best practices, rather than bespoke or unapproved solutions.

Target · Increase internal developer adoption of the standardised Redis platform by 50% year-on-year.

After implementing the new self-service Redis provisioning tool and updated documentation, platform adoption jumped from 40% to 65% across product teams.

Total Cost of Ownership (TCO) Optimisation

Reducing the overall spend on in-memory data platforms (including cloud infrastructure, licensing, and operational overhead) while maintaining or improving performance and reliability.

Target · Reduce the TCO of the in-memory data platform by 10% annually while improving performance and reliability.

Negotiated new cloud provider discounts and implemented a more aggressive data tiering strategy, resulting in a 12% TCO reduction for Redis clusters in H1 without impacting latency.

System Availability & Reliability (SLOs)

Maintaining agreed-upon Service Level Objectives (SLOs) for critical Redis-backed services, typically measured by uptime and error rates.

Target · Achieve 99.99% uptime for Tier-0 Redis infrastructure and ensure critical command error rates are below 0.01%.

Maintained 99.995% uptime for all Redis Cluster instances throughout Q3, with no P1 incidents directly attributable to Redis platform failures.

Strategic Influence & Thought Leadership

How effectively you shape the broader engineering and product strategy through your expertise in data infrastructure, and how you represent the company externally.

Regularly invited to contribute to executive strategy sessions
your recommendations are frequently adopted
you're asked to present at industry conferences or contribute to whitepapers
you're seen as a go-to expert by peer directors and VPs.

Team Health & Development

The ability to attract, retain, and develop a high-performing team of data infrastructure engineers and managers.

Low attrition rates within your teams
strong internal promotion rates
positive feedback in skip-level meetings
successful recruitment of senior talent
visible mentorship and growth programmes in place for your reports.

Risk Management & Proactive Planning

Identifying and mitigating potential risks (technical debt, security vulnerabilities, single points of failure) before they become critical problems, and planning for future needs.

Regularly updated risk registers with clear mitigation strategies
successful completion of disaster recovery drills
proactive identification of scaling bottlenecks months in advance
successful implementation of security hardening initiatives.

Cross-Functional Collaboration & Alignment

How well you work with other departments (Product, Security, Finance, other Engineering teams) to ensure data infrastructure supports their needs and aligns with overall company goals.

Positive feedback from product and security leads
successful joint projects with other engineering directors
clear, agreed-upon roadmaps that reflect input from multiple stakeholders
effective resolution of cross-team dependencies.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy

Shaping Organisational Strategy

You'll be in high-level planning meetings, contributing to the overall technology roadmap, and making decisions that directly influence the company's direction. This isn't just about implementing; it's about defining the 'what' and 'why'.

Leading the quarterly data infrastructure strategy review with the CTO, presenting options for our next-generation caching layer and its impact on product innovation.

Building High-Performing Teams

A significant part of your role is mentoring managers, setting clear expectations, and fostering a culture of excellence and continuous learning. You'll get satisfaction from seeing your teams grow, deliver impactful work, and take on bigger challenges.

Developing a new career framework for data engineers, leading to clearer progression paths and increased team engagement, or successfully recruiting a new engineering manager who elevates the team's capabilities.

Driving Business Transformation

Your work directly enables new product lines, improves customer experiences, and optimises operational costs. You'll see the tangible impact of your infrastructure decisions on the business's bottom line and competitive advantage.

Overseeing the migration of legacy caching systems to a modern Redis Cluster architecture, which then enables a new low-latency trading platform for our financial services product division.

What frustrates people

Getting buy-in from Finance for significant infrastructure investments when they only see the cost, not the long-term value or risk mitigation.
Dealing with 'urgent' requests from Product that require significant re-architecture but haven't been properly scoped or prioritised.
Managing technical debt that's accumulated over years, often while simultaneously trying to innovate and scale.
The constant pressure of being on-call for systems that, if they fail, can take down an entire product division.
Recruiting and retaining top-tier talent in a highly competitive market, especially for niche infrastructure roles.

What this role does not give you

A purely individual contributor (IC) path – you'll be leading and managing, not just coding.
A quiet, predictable 9-to-5 schedule – incidents don't respect office hours, and strategic planning often extends beyond them.
The luxury of focusing on only one technical area – you'll need to think broadly across all data infrastructure.
A role where you can avoid organisational politics – influencing and negotiating are daily tasks.

8Who you work with

This role directly shapes the technical foundation for an entire business unit, influencing product velocity, operational efficiency, and overall profitability. Your decisions on data platform strategy can enable or constrain future product innovation and significantly impact the company's market position.

Inside the business

C-Suite (CEO, CTO, COO)
Product Leadership (VPs of Product)
Finance Leadership (CFO, Head of FP&A)
Security Leadership (CISO)
Peer Directors of Engineering

Outside the business

Cloud Providers (AWS, GCP, Azure account teams)
Key Technology Vendors (e.g., Redis Labs, Datadog)
Industry Bodies and Standards Organisations
Potential M&A targets (for technical due diligence)

9What you need before you start

Not a wish list. The things you would be expected to already have.

Extensive experience (16+ years) in designing, building, and operating large-scale, mission-critical data infrastructure, with a significant focus on Redis.
Proven track record of leading and managing multiple engineering teams, including managers, and fostering a culture of technical excellence.
Demonstrable experience in defining and executing multi-year technical strategies that have driven significant business impact.
Deep expertise in cloud-native architectures and managing infrastructure at scale on at least one major cloud provider (AWS, GCP, or Azure).
Strong financial acumen, with experience managing budgets in the multi-million-pound range and driving cost optimisation initiatives.
Exceptional communication and influencing skills, with a history of presenting to and gaining buy-in from C-suite and Board-level stakeholders.

10What to practise next

Where the job is going, and what to do about it starting this week.

Real-time Data Mesh/Fabric Architectures

As data grows and becomes more decentralised, organisations are moving towards data mesh or fabric architectures to empower domain teams. Your role will be to define how Redis and other real-time data stores fit into this federated model, ensuring consistency, governance, and discoverability without creating new silos.

Data as a Product Principles · Federated Computational Governance · Self-Serve Data Platforms for Real-time Needs · Data Observability for Mesh Architectures

This quarter: Read up on key data mesh/fabric concepts and their application to real-time data. Discuss with your leadership team.
Next quarter: Collaborate with data platform and analytics leaders to define a shared vision for a data mesh/fabric, specifically for real-time use cases.
Month 6: Sponsor a pilot project to implement 'data as a product' principles for one critical Redis-backed service.
Month 9: Develop a strategic roadmap for integrating Redis and other real-time stores into a broader data mesh/fabric architecture over the next 2 years.

Quick win: Start by identifying one or two 'data products' that are currently served by Redis and document their consumers, producers, and quality metrics. This helps frame the 'data as a product' mindset.

Advanced Data Security & Privacy Engineering

With increasing data breaches and evolving regulations, data security and privacy are no longer just compliance checkboxes; they're core engineering disciplines. As Director, you'll need to lead the charge in embedding security-by-design principles into all real-time data infrastructure, especially for sensitive data in Redis.

Homomorphic Encryption & Secure Multi-Party Computation · Differential Privacy for Real-time Analytics · Confidential Computing for Data at Rest/In Use · Automated Policy Enforcement & Access Control

This quarter: Partner with the CISO and security engineering teams to conduct a comprehensive threat model review of your Redis infrastructure.
Next quarter: Investigate and pilot one advanced data privacy technique (e.g., tokenisation, differential privacy) for a specific Redis use case.
Month 6: Develop a strategic roadmap for enhancing data security and privacy engineering capabilities within your teams.
Month 9: Present a proposal to the C-Suite on adopting confidential computing for highly sensitive Redis workloads, including cost/benefit analysis.

Quick win: Ensure all Redis instances are running with the latest security patches. Implement and audit Redis ACLs for all production clusters, ensuring least-privilege access.

11Staying current once you are in

What people here do to keep up

Regularly attending and speaking at industry conferences (e.g., RedisConf, KubeCon, AWS re:Invent, QCon) to stay abreast of the latest trends and network with peers.
Contributing to open-source projects related to data infrastructure or Redis, demonstrating thought leadership and practical expertise.
Mentoring junior engineers and managers, both within and outside your organisation, to foster leadership skills.
Participating in executive leadership programmes or courses focused on strategy, finance, and organisational behaviour.
Engaging with cloud provider advisory boards or early access programmes for new data infrastructure services.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

AI-Driven Infrastructure Optimisation & AIOps

AI is moving beyond just code generation; it's now capable of analysing vast amounts of operational data to predict failures, recommend optimal configurations, and even automate remediation. Directors who don't embrace AIOps will find their teams drowning in alerts and manual tuning, while competitors run leaner, more resilient systems.

Predictive Analytics for System Health
Reinforcement Learning for Configuration Tuning
Automated Incident Remediation
Generative AI for Operational Insights

FinOps for Cloud Data Infrastructure

Cloud costs are spiralling, and data infrastructure is often a major contributor. Finance teams are demanding more accountability. Directors who can't speak the language of FinOps and strategically optimise cloud spend will struggle to secure budgets and demonstrate value. It's about treating cloud spend like a product, not just an expense.

Cloud Cost Allocation & Showback/Chargeback
Unit Economics of Data Infrastructure
Automated Cost Optimisation Strategies
Cloud Vendor Negotiation & Strategy

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Caching Strategies (Strategic)
Redis Data Modelling (Architect)
Performance Tuning & Optimisation (Strategic)
High Availability & Scalability (Architect)
Security Hardening (Strategic)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

1
Principal Redis Engineer / Staff SRE
3-5 years at Principal/Staff level
Skills to master
- Deep architectural design for complex systems, cross-functional technical leadership, mentorship of senior engineers, influencing technical direction without direct authority.
You're ready to move on when
- Successfully led the design and implementation of 2-3 major, high-impact data infrastructure projects.
- Consistently sought out for technical guidance by multiple teams and senior leaders.
- Demonstrated ability to identify and solve systemic technical challenges across the organisation.
- Proactively mentored 3+ senior engineers or team leads.
2
Head of Platform Engineering / Senior Engineering Manager (Data)
4-6 years in senior management roles
Skills to master
- Managing multiple engineering teams, strategic planning and roadmap development, budget management, talent acquisition and development, stakeholder management across departments.
You're ready to move on when
- Successfully managed 2-3 engineering teams (15+ engineers total) with strong performance and retention.
- Developed and executed a clear technical roadmap for a significant platform area.
- Demonstrated ability to manage budgets and deliver cost efficiencies.
- Consistently received positive feedback on leadership, communication, and team development.

15Where this role leads

The long view: This role can lead to CTO, CEO of a technology venture, or Chief Product Officer.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Director of Data Infrastructure is actually changing.

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Software Development Methodologies in the Cloud, worked against Director of Data Infrastructure.

Software Development Methodologies in the Cloud Level 5

Applied to your work in Director of Data Infrastructure

The objective of this unit is to enable learners to understand and apply software development methodologies in the cloud. Learners will discuss the impact of different software development lifecycles, develop a project management proposal for a cloud-deployed solution, implement the solution using a DevOps pipeline, and demonstrate collaborative software development practices.

How the thinking builds

1 Remember
2 Understand
3 Apply
4 Analyse
5 Evaluate
6 Create

An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration

Director of Data Infrastructure

Caching Strategies (Strategic)
Redis Data Modelling (Architect)
Performance Tuning & Optimisation (Strategic)
High Availability & Scalability (Architect)
Security Hardening (Strategic)

This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Director of Data Infrastructure is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

VP of Engineering (Product Division)
3-5 years

Significant increase in scope and strategic influence, moving from data infrastructure to broader engineering leadership for an entire product division.
- Enterprise-wide technology strategy and architecture.
- M&A strategy and integration for entire engineering organisations.
- Talent strategy and organisational design at a company-wide level.
- Driving cultural change and innovation across a large engineering organisation.
Chief Architect / Distinguished Engineer
3-6 years

Increase in technical depth and influence, focusing on company-wide technical strategy as an individual contributor.
- Deep expertise in multiple technical domains beyond data infrastructure (e.g., security, networking, application architecture).
- Developing and maintaining long-term technical roadmaps for the entire company.
- Acting as an internal consultant for the most complex technical challenges.
- Representing the company's technical vision externally through speaking and publications.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, as a Director, your time is precious. You're juggling strategic planning, team leadership, budget oversight, and high-stakes problem-solving. Imagine if you could offload some of the heavy lifting, giving you more bandwidth to focus on what truly matters: vision, people, and critical business outcomes.

AI isn't here to replace your strategic mind, but it's brilliant at handling the data-intensive, analytical, and even some of the documentation tasks that eat into your day. For a Director of Data Infrastructure, this means using AI to get a clearer picture of your systems, automate routine reporting, and even accelerate incident resolution, freeing you up to lead and innovate.

Strategic Configuration Tuning Automation

Imagine an AIOps agent that doesn't just monitor, but predicts and recommends optimal `redis.conf` parameter changes based on historical workload patterns and business objectives. You'll get data-driven suggestions for `maxmemory-policy`, `hz`, or TCP settings, turning complex tuning into a strategic, automated decision process, allowing your teams to focus on higher-value work.

Predictive Anomaly Detection & Risk Forecasting

Use AI-powered monitoring to forecast memory usage, predict 'hot key' development, and detect anomalous command patterns before they impact production. This isn't just about alerts; it's about anticipating systemic risks and proactively intervening, giving you and your teams the lead time to prevent major incidents rather than just reacting to them. Think of it as an early warning system for your entire data platform.

Automated Strategic Report & Post-Mortem Drafting

Feed an LLM your quarterly performance metrics, incident reports, and team updates. The AI can generate a first draft of your executive summary, board report, or even a comprehensive post-mortem, including timelines, impact analysis, and initial remediation plans. This means less time spent on tedious documentation and more time refining the strategic narrative and ensuring robust follow-through.

AI-Assisted Cost Optimisation & Scenario Planning

Leverage AI to analyse cloud spend patterns for your data infrastructure, identifying opportunities for rightsizing, data tiering, and negotiating better rates. You can also use AI to model 'what-if' scenarios for different architectural decisions, instantly seeing the cost implications of scaling up or down, or adopting a new technology. This gives you powerful data to defend your budget and optimise your P&L.

Common questions

How do you become a Director of Data Infrastructure?

Common routes in include Principal Redis Engineer / Staff SRE (3-5 years at Principal/Staff level) and Head of Platform Engineering / Senior Engineering Manager (Data) (4-6 years in senior management roles). Times vary with prior experience.

Where can a Director of Data Infrastructure progress to?

This role can lead on to VP of Engineering (Product Division) (3-5 years) and Chief Architect / Distinguished Engineer (3-6 years), depending on the skills you build.

What new skills matter most for a Director of Data Infrastructure?

Increasingly, AI-Driven Infrastructure Optimisation & AIOps and FinOps for Cloud Data Infrastructure. These are the skills our record of this role lists as growing.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my free Automation Fluency module What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.

Director of Data Infrastructure

Where should we send it?

Two short quizzes about you

Will AI change your work as a Director of Data Infrastructure?

What's rising in its place

AI-Driven Infrastructure Optimisation & AIOps

FinOps for Cloud Data Infrastructure

Skills this role draws on

Technical

How you actually get there, here

Principal Redis Engineer / Staff SRE

Head of Platform Engineering / Senior Engineering Manager (Data)

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

VP of Engineering (Product Division)

Chief Architect / Distinguished Engineer

Where AI is starting to help

Strategic Configuration Tuning Automation

Predictive Anomaly Detection & Risk Forecasting

Automated Strategic Report & Post-Mortem Drafting

AI-Assisted Cost Optimisation & Scenario Planning

Common questions

Want a read on where you stand?