cloud data architect

Capgemini

<div><div><div><div>About the Job you are considering:
We are seeking an experienced Cloud &amp; Data Architecture Consultant to lead enterprise-scale cloud, data, and finance transformation initiatives. The ideal candidate will possess deep expertise in Google Cloud Platform (GCP) architecture, Oracle Integration Cloud (OIC), Enterprise Performance Management (EPM) strategy and tooling, and Databricks-based data platforms. This role will be responsible for defining target-state architectures, assessing and recommending EPM solutions, designing scalable integration frameworks, and enabling cloud-native data modernization programs. The consultant will work closely with business and technology stakeholders to drive architecture governance, solution design, and successful transformation outcomes.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
<ul><li>Define and drive enterprise-wide target-state architecture for cloud, data, and finance transformation programs.</li>
<li>Design scalable, secure, and high-performing GCP-based architecture solutions aligned with business and technology objectives.</li>
<li>Assess existing finance and performance management landscapes and provide EPM tooling recommendations based on business requirements, scalability, and future-state strategy.</li>
<li>Architect and govern Oracle Integration Cloud (OIC) solutions for seamless integration across Oracle and third-party applications.</li>
<li>Design and implement Databricks-based modern data platforms supporting analytics, reporting, and AI/ML use cases.</li>
<li>Develop enterprise data architecture standards, data models, and integration patterns to ensure consistency and scalability.</li>
<li>Lead cloud migration and modernization initiatives, including workload assessment, architecture planning, and execution oversight.</li>
<li>Collaborate with finance, business, and technology leadership teams to align architecture decisions with transformation goals.</li>
<li>Establish and enforce architecture governance, best practices, security standards, and design principles.</li>
<li>Conduct architecture reviews, solution assessments, and technical due diligence for new initiatives.</li>
<li>Provide strategic guidance on data management, integration, cloud adoption, and enterprise application modernization.</li>
<li>Facilitate stakeholder workshops, architecture discussions, and executive-level presentations.</li>
<li>Mentor project teams and support delivery organizations in implementing approved architecture solutions</li>
</ul>Your Skills:
<ul><li>Strong expertise in Google Cloud Platform (GCP) Architecture, including cloud-native design patterns and modernization strategies.</li>
<li>Hands-on experience with Oracle Integration Cloud (OIC) and enterprise integration architecture.</li>
<li>Experience evaluating, selecting, and implementing Enterprise Performance Management (EPM) solutions.</li>
<li>Strong knowledge of Databricks, data lakehouse architecture, and modern data engineering principles.</li>
<li>Expertise in Enterprise Data Architecture, data modeling, data governance, and data integration frameworks.</li>
<li>Experience in Cloud Migration, application modernization, and hybrid cloud architectures.</li>
<li>Strong understanding of solution architecture methodologies, security, scalability, and performance optimization.</li>
<li>Familiarity with data warehousing, analytics, reporting, and business intelligence ecosystems</li>
<li>Experience delivering Finance Transformation and enterprise data transformation programs.</li>
<li>Strong understanding of financial planning, forecasting, budgeting, and performance management processes.</li>
<li>Ability to translate business requirements into scalable technology solutions.</li>
<li>Excellent stakeholder management and executive communication skills.</li>
<li>Strong consulting, problem-solving, and analytical capabilities.</li>
<li>Proven experience leading architecture workshops and influencing senior business and technology stakeholders.</li>
<li>Ability to work across cross-functional and distributed teams in a fast-paced environment.</li>
<li>Strong governance, decision-making, and strategic planning skills.</li>
<li>Experience in large-scale enterprise transformation programs.</li>
<li>GCP, Oracle, Databricks, or relevant cloud certifications.</li>
<li>Experience working in consulting environments or leading enterprise architecture engagements.</li>
<li>Familiarity with finance systems, ERP platforms, and performance management ecosystems.</li>
</ul>'We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul>Please opt in during the application process.
Make It Real (what does it mean for you):
<ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
 
To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li>
</ul>Why you should consider Capgemini:
Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
 
Make it real | www.capgemini.com</div></div></div></div><div></div>

Cloud & Data Architect

Zensar Technologies

<div>Job Title: Senior Principal Data Architect
Role Summary (Executive View):
Lead enterprise-scale data architecture, governance, and delivery oversight across cloud and AI-enabled ecosystems, driving modern data platforms, MDM excellence, and business-aligned outcomes.
Key Responsibilities:
<ul><li>Own end-to-end Data Architecture strategy across enterprise platforms (Cloud, On-prem, Hybrid).
</li><li>Drive Delivery Governance ensuring quality, timelines, financials, and stakeholder alignment.
</li><li>Establish and operationalize Data Governance frameworks (data quality, lineage, catalog, compliance).
</li><li>Lead and enhance Informatica MDM (multi-domain) implementations, upgrades, and optimization.
</li><li>Architect Cloud Data Platforms (Azure/GCP/AWS) leveraging modern data stack (Data Lakehouse, ETL/ELT, streaming).
</li><li>Enable AI/GenAI adoption by designing data foundations for ML, analytics, and intelligent automation.
</li><li>Partner with business and IT leadership to translate data strategy into execution roadmaps .
</li><li>Define and enforce architecture standards, best practices, and reusable accelerators .
</li><li>Mentor teams and influence large-scale data transformation programs .
</li></ul>Must-Have Skills &amp; Experience:
<ul><li>15+ years in Data Engineering / Data Architecture / Data Platforms
</li><li>Strong expertise in:
<ul><li>Informatica ETL, MDM (Multidomain / Customer 360 / Data Governance tools)
</li><li>Cloud Architecture (Azure, GCP, AWS &ndash; data services stack)
</li><li>Data Governance tools &amp; framework implementation
</li><li>Enterprise Data Modeling (Canonical, Dimensional, Data Vault)
</li></ul></li><li>Proven track record in Delivery Governance &amp; large program leadership
</li><li>Experience in AI/ML data readiness, GenAI ecosystem exposure
</li><li>Strong hands-on with:
<ul><li>ETL/ELT tools (ADF, Informatica, Databricks)
</li><li>Data Lakes / Lakehouse architectures
</li><li>SQL, Big Data technologies
</li></ul></li><li>Domain experience in BFSI / Insurance preferred
</li></ul>Leadership &amp; Behavioral Expectations:
<ul><li>Executive stakeholder management (CXO-level interactions)
</li><li>Strong ownership of P&amp;L, delivery excellence, and risk management
</li><li>Ability to drive innovation, accelerators, and reusable frameworks
</li><li>High focus on quality, governance, and scalable design
</li></ul>Nice to Have:
<ul><li>Experience in MDM modernization / migration programs
</li><li>Exposure to data privacy regulations (GDPR, etc.)
</li><li>Certification in Cloud / Data Architecture frameworks
</li></ul>Outcome Expectation (Success Metrics):
<ul><li>Robust, scalable enterprise data architecture in place
</li><li>Improved data quality, governance maturity, and MDM adoption
</li><li>Successful delivery of complex data programs with high stakeholder satisfaction
</li><li>Increased AI/analytics enablement through strong data foundations</li></ul></div>

DE&A - Core - Advanced Data Engineering - Advanced Data Engineering (Other)

FalconSmartIT

<div>Job Title: Data Architect
Job Location: London, UK
Job Type: Permanent/ Contract 
 
 
Note on Snowflake
Candidates must have significant, hands-on Snowflake architecture experience including schema design, ingestion patterns, security configuration, and cost governance. Experience with other cloud warehouses (BigQuery, Redshift, Databricks) will be considered alongside demonstrable ability to operate at Snowflake depth quickly.
Data Architect
CAGM Engineering Project Compass
Accounts (RTL) Payments Engine FX Enterprise Data Platform 
 
About the Role
We are seeking a senior Data Architect to join the CAGM Global Markets) engineering organisation as part of Project Compass. This programme is delivering next-generation capabilities across Accounts (Real-Time Ledger), Payments Engine, and Foreign Exchange all of which generate, consume, and depend on high-quality, well-governed data at scale.
The Data Architect will own the end-to-end data architecture across CAGM, spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real-time operational workloads. You will define how data flows from source systems into the warehouse, how application databases are modelled and managed, and how data products are exposed to downstream consumers within and beyond .
This is a hands-on, delivery-focused role. You will work closely with Integration Architects, platform engineers, and domain product teams to translate business data requirements into durable, governed, and scalable data solutions.
Key Responsibilities
Data Architecture &amp; Strategy
<ul><li>Define and own the CAGM data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them</li>
<li>Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in-memory (Redis), time-series (TimescaleDB / InfluxDB), and document (MongoDB) stores used by CAGM applications</li>
<li>Design the data ingestion and movement architecture real-time CDC pipelines, batch ETL/ELT patterns, and event-driven feeds from the NATS messaging layer into Snowflake</li>
<li>Define data domain boundaries, ownership, and lineage standards aligned with Project Compass product domains (RTL, Payments, FX)</li>
<li>Produce and maintain authoritative data architecture artefacts: entity-relationship models, data flow diagrams, data dictionaries, and Architecture Decision Records (ADRs)</li>
</ul>Snowflake &amp; Data Warehouse
<ul><li>Lead the design and evolution of the Snowflake data warehouse, including schema design (Raw / Conformed / Consumption layers), virtual warehouse sizing, and cost governance</li>
<li>Define standards for data loading (Snowpipe, Streams &amp; Tasks, external stages), transformation (dbt patterns), and data sharing across business units</li>
<li>Establish Snowflake data access controls, row-level security, dynamic data masking, and PII governance in line with regulatory requirements (GDPR, BCBS 239)</li>
<li>Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation</li>
<li>Evaluate Snowflake-native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate CAGM data product delivery</li>
</ul>Application Database Architecture
<ul><li>Govern the application database landscape across CAGM reviewing schema designs, indexing strategies, and data lifecycle management across all in-house databases</li>
<li>Define patterns for operational data stores (ODS) that bridge real-time application databases and the analytical warehouse layer</li>
<li>Ensure consistency between transactional data models and their warehouse representations, minimising transformation complexity and maximising fidelity</li>
<li>Set standards for database change management, migration tooling (Liquibase / Flyway), and schema versioning across the CAGM application estate</li>
<li>Identify and remediate data quality issues at source, defining data contracts between application teams and downstream consumers</li>
</ul>Data Governance &amp; Quality
<ul><li>Define and implement data governance frameworks covering data ownership, stewardship, classification (PII, sensitive, public), and retention policies</li>
<li>Establish data lineage and cataloguing standards, working with tooling such as Apache Atlas, Collibra, or Snowflake Horizon Catalog</li>
<li>Design and enforce data quality rules and SLAs at ingestion, transformation, and consumption layers</li>
<li>Collaborate with the Risk and Compliance function to ensure CAGM data architecture meets BCBS 239 Risk Data Aggregation and Reporting requirements</li>
<li>Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across CAGM domains</li>
</ul>AI, Analytics &amp; Data Products
<ul><li>Define the architecture for CAGM data products curated, well-documented datasets served to analytics, reporting, and AI/ML consumers</li>
<li>Design feature stores and data pipelines that support AI/ML model training and inference for use cases such as FX pricing, payment anomaly detection, and limit utilisation forecasting</li>
<li>Evaluate and integrate AI-assisted data tooling (AI-powered cataloguing, natural language querying, automated data quality) where it accelerates productivity</li>
<li>Partner with the Analytics Engineering team to establish dbt modelling standards, testing frameworks, and documentation practices</li>
</ul>Collaboration &amp; Leadership
<ul><li>Work hands-on across multiple CAGM product teams as a data authority, balancing strategic design with direct delivery contribution</li>
<li>Guide and mentor application engineers on data modelling, query optimisation, and data quality best practices</li>
<li>Engage senior stakeholders across Technology, Finance, Risk, and Operations to communicate data strategy, risks, and trade-offs</li>
<li>Facilitate data architecture working groups with platform, BI, and enterprise architecture teams to align on shared standards</li>
</ul>Core Technical Skills
Data Warehouse
Snowflake schema design, Snowpipe, Streams &amp; Tasks, Snowpark, dynamic data masking, cost governance
Transformation
dbt (data build tool) modelling layers, testing, documentation, incremental strategies
Application Databases
PostgreSQL, Oracle, Redis, MongoDB, TimescaleDB / InfluxDB schema design, indexing, replication
Data Integration
CDC (Debezium / Kafka Connect), ETL/ELT pipelines, NATS event feeds, AWS Glue, Apache Spark
Cloud Platform
AWS S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC
Data Governance
Data lineage, cataloguing (Apache Atlas / Collibra / Snowflake Horizon), GDPR, BCBS 239, MDM
Architecture Practice
ERDs, data flow diagrams, data contracts, ADRs, C4 modelling, domain-driven data design
AI / ML Data
Feature stores, ML pipeline data design, Snowflake Cortex AI, vector stores, LLM data patterns
Query &amp; Performance
SQL optimisation, clustering keys, partitioning, query profiling, cost-based tuning
CAGM Data Landscape
The Data Architect will work across the following technology landscape. Candidates should have direct experience with the majority of these platforms and the ability to define coherent architecture across heterogeneous stores:
Platform / Store
Primary Use in CAGM
Key Architecture Concerns
Snowflake
Enterprise data warehouse, analytics, reporting, data sharing
Layer design, ingestion patterns, security, cost governance
PostgreSQL
Transactional data ledger entries, client records, audit
Schema design, CDC, replication lag, index strategy
Oracle DB
Legacy core banking integration, reference data
Migration strategy, data contracts, schema versioning
Redis
Real-time caches FX rates, limit state, session data
Cache invalidation, persistence strategy, data consistency
MongoDB
Document stores client profiles, trade enrichment data
Schema evolution, aggregation pipelines, CDC integration
TimescaleDB
Time-series market data ticks, position history
Hypertable design, retention policies, compression
NATS JetStream
Event streaming payments, ledger events, FX confirmations
Event schema contracts, consumer group design, replay strategy
AWS S3 / Glue
Data lake staging, archival, batch ingestion into Snowflake
Partitioning, file format (Parquet/ORC), Lake Formation governance
Finance Domain Knowledge
Candidates should have hands-on data architecture experience in one or more of the following financial services domains:
Domain
Key Data Concepts
Real-Time Ledger
Double-entry accounting data models, event-sourced ledgers, real-time balance aggregation, reconciliation datasets
Payments Engine
Payment message data (ISO 20022 / SWIFT), settlement instructions, payment status lifecycle, fee and charge data
Foreign Exchange
Trade data models, rate feeds and time-series storage, position keeping, P&amp;L attribution data
Limit Management
Exposure data models, limit hierarchy, breach event data, real-time risk aggregation feeds
Client Onboarding
Client master data, KYC / AML data structures, account hierarchy, regulatory reporting feeds
Regulatory Reporting
BCBS 239 data lineage, EMIR / MiFID trade reporting data, data quality SLAs for regulatory submissions
Experience &amp; Profile
<ul><li>15+ years of progressive technology experience, with at least 5 years in senior data architecture roles</li>
<li>Deep, hands-on experience with Snowflake as an enterprise data warehouse ideally holding Snowflake SnowPro Core or Advanced: Architect certification</li>
<li>Proven track record of designing data architectures across heterogeneous application database landscapes in large financial institutions or fintech organisations</li>
<li>Demonstrated experience implementing data governance frameworks, lineage tooling, and data quality programmes at programme scale</li>
<li>Comfortable working hands-on writing dbt models, reviewing SQL, profiling queries while operating at senior stakeholder and architecture level</li>
<li>Experience with CDC-based real-time data pipelines and event-driven data integration patterns</li>
<li>Strong communicator able to convey complex data architecture decisions to both engineering teams and business stakeholders</li>
<li>Familiarity with AI/ML data architecture patterns (feature stores, vector databases, LLM data pipelines) is a strong advantage</li>
<li>AWS Solutions Architect or AWS Data Analytics certification is advantageous</li></ul></div>

Data Architect

<div><div><div><div><div><div><div><h2 class="jobSectionHeader">CAPGEMINI INVENT</h2>
</div><div>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients&rsquo; challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Join our Data &amp; AI Strategy team and be part of the future of AI consulting, where we&rsquo;re not just advising clients, we&rsquo;re actively disrupting traditional consulting models by embedding AI into every aspect of how we work.
 
We&rsquo;re looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You&rsquo;ll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution.
</div></div><div><div><h2 class="jobSectionHeader">YOUR ROLE</h2>
</div><div>This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you&rsquo;ll be working at the cutting edge of what&rsquo;s next.
<ul><li>We DESIGN next-generation data, analytics and AI platforms &ndash; You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).</li>
<li>We ENABLE hybrid cloud transformation &ndash; You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.</li>
<li>We INNOVATE with AI-driven data solutions &ndash; You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.</li>
<li>We AUTOMATE for speed and reliability &ndash; You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).</li>
<li>We ADVISE on enterprise data strategy &ndash; You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.</li>
<li>We DELIVER impact through design excellence &ndash; You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.</li>
<li>We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.</li> 
</ul> 
As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:
<ul><li>Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</li>
<li>Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</li>
<li>Learning &amp; development - Training to support your career development and the skills demand within the company, certifications etc.</li>
</ul>You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data.
 
We are looking for exceptional Data Platform Architecture &amp; Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success.
</div></div><div><div><h2 class="jobSectionHeader">YOUR PROFILE</h2>
</div><div>As a member of the Data &amp; AI Strategy Team you&rsquo;ll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You&rsquo;ll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.
 
Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point &ndash; we want to build a team which has diverse backgrounds, perspectives and strengths.
Key Skills
<ul><li>Growth mindset and curiosity - You&rsquo;re always learning, experimenting with new technologies, and pushing the boundaries of what&rsquo;s possible.</li>
<li>Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations.</li>
<li>Excellent communication and collaboration skills - You&rsquo;re confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives.</li>
<li>Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.</li>
</ul>Technology &amp; Consulting Experience
<ul><li>Strategic Leadership in Data, Analytics &amp; AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation.</li>
<li>Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience.</li>
<li>Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others.</li>
<li>Certifications &amp; Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures.</li>
<li>Infrastructure &amp; Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases.</li>
<li>Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric.</li>
<li>Migration &amp; Transformation: Experience migrating legacy systems to cloud-native data stores.</li>
<li>Consulting &amp; Commercial Acumen &ndash; Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships.</li>
<li>SC Cleared / Eligible</li>
</ul>Desirable Experience
<ul><li>Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport.</li>
<li>Knowledge of cloud cost management tools and best practices to optimise spend and maximise value</li>
<li>Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">WHAT YOU'LL LOVE ABOUT WORKING HERE</h2>
</div><div>We are delighted to have received the &ldquo;Glassdoor Best Places to work UK&rsquo; accolade for 5 consecutive years, to see what it&rsquo;s like to work at Capgemini Invent, visit our Glassdoor page
<ul><li>A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling programs.</li>
<li>Opportunity to lead high-visibility, cutting-edge client engagements in the data &amp; AI space, shaping how organisations extract value from data.</li>
<li>Flexible working, comprehensive benefits and a culture of collaboration, innovation and growth.</li>
<li>The chance to step into a leadership journey, influencing strategy and building a high-performing team in a major global consulting firm.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">NEED TO KNOW</h2>
</div><div>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work.
 
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
 
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.
</div></div><div><div><h2 class="jobSectionHeader">CSR</h2>
</div><div>We&rsquo;re committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn&rsquo;t just a statement; it&rsquo;s a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World&rsquo;s Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.
Your base location will be London, Manchester, or Glasgow, but flexibility is essential. These roles may require travel and short-notice assignments away from home.
 
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
</div></div><div><div><h2 class="jobSectionHeader">ABOUT CAPGEMINI</h2>
</div><div>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</div></div></div></div></div></div></div>

Manager / Senior Manager - Data Management

Accenture

<div>YOU ARE
As a hands-on Infrastructure Architect, you are an experienced engineer with several years in infrastructure engineering who now takes on more complex, higher-impact work designing and optimizing the AI and machine learning infrastructure that powers real-world applications. Working alongside senior architects and engineers &mdash; and increasingly leading your own workstreams &mdash; you apply proven skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on. Day to day, you architect and optimize infrastructure components, write and review code and deployment scripts, design and tune cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack. You also mentor junior engineers, contribute to architectural decisions, and help establish best practices. This is a hands-on, ownership-driven where you apply and deepen your expertise across modern tools and platforms &mdash; including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring &mdash; while making meaningful contributions to infrastructure that enables AI-driven business outcomes.
THE WORK<ul><li>
Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling, setting standards for quality across the team.</li><li>
Architect, configure, and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups, optimizing for performance and utilization.</li><li>
Design and maintain deployment automation and CI/CD pipelines to support reliable, repeatable releases of AI systems, models, and applications.</li><li>
Deploy AI systems, models, and data pipelines into production, defining and improving the processes and best practices others follow.</li><li>
Lead container orchestration and model serving using tools such as Docker, Kubernetes, and model deployment frameworks.</li><li>
Architect and optimize the computational stack for performance, power, cost, and scalability, balancing trade-offs against business goals.</li><li>
Evaluate and select tools, frameworks, and platforms, making recommendations that shape the infrastructure roadmap.</li><li>
Integrate AI models and systems into existing enterprise systems, ensuring interoperability, security, and regulatory compliance.</li><li>
Own AI monitoring and infrastructure health across InfraOps and MLOps, tracking performance, reliability, and utilization, and driving remediation.</li><li>
Independently troubleshoot and resolve complex issues across the computational stack &mdash; hardware, networking, software, and models &mdash; and lead root-cause analysis.</li><li>
Mentor junior engineers and lead code reviews, providing technical direction and supporting their growth.</li><li>
Define and document architecture standards, processes, and procedures, and apply security, cost-efficiency, and scalability best practices across the infrastructure.</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experienced with coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.</li><li>
Strong understanding of AI and machine learning as a subject.</li><li>
Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.</li><li>
Proficient in programming languages such as Python, Java, or C++.</li><li>
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow).</li><li>
Strong problem-solving skills and ability to work in a fast-paced environment.</li><li>
Excellent communication and collaboration skills.</li><li>
Experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform for deploying large scale solutions.</li></ul></div>

AI Infrastructure Architecture Specialist

HCLTech

City Of London, England
 Job Summary
 
Experience: 15+ years in data engineering, AI/ML, or cloud architecture.
 
A premier Global Systems Integrator (GSI) is seeking a seasoned On-site Data & AI Architect in North America. This role bridges technical expertise and strategic sales, driving adoption of Google Cloud Platform (GCP) Data & AI solutions. You will design, present, and close complex deals, serving as a trusted advisor to senior CXOs..
 
Key Responsibilities
 
Key Responsibilities
 
1. GTM Positioning & Sales Support: Work with Sales teams to identify, qualify, and close high-value Data & AI opportunities.Solution Architecture: Design scalable, secure solutions utilizing Vertex AI, BigQuery, Dataflow, and Looker.
 
2. Pre-Sales Leadership: Lead client workshops, craft proposals, and deliver technical presentations (PoCs/PoVs).Industry Focus: Build industry-specific AI solutions that drive co-sell motions and field incentives.
 
Skill Requirements
 
GCP Expertise: Deep knowledge of Google Cloud Data & AI stack (Vertex AI, BigQuery).GTM Expertise: Proven experience in pre-sales, technical consulting, and supporting sales teams to achieve targets.
 Communication: Excellent executive-level communication and presentation skills.
 Preferred CertificationsGoogle Cloud - Professional Data Engineer / Professional Machine Learning Engineer.
 
#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

AI Solution Architect II

<div><div><h4 class="jobSectionHeader">Who We Are</h4>

WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients' businesses.</div>
Do you thrive on shaping the strategic technological future of the world's leading brands? Are you a visionary architect who can orchestrate complex MarTech ecosystems to deliver hyper-personalised customer experiences at scale? Can you translate ambitious business objectives into scalable, compliant, and future-proof enterprise architectures?

If you are a strategic technology leader with a consultancy mindset, strong stakeholder management skills, and a passion for driving innovation across enterprise MarTech landscapes, then you might be the Enterprise Architect we're looking for.

What will your day look like?

As an Enterprise Architect, you will be the strategic technical leader responsible for defining, evolving, and governing enterprise-wide MarTech architecture for our clients. You will operate at the intersection of business, technology, data, and innovation, translating business strategies into scalable architectural roadmaps that drive measurable business outcomes.

You will act as a trusted advisor to both clients and internal stakeholders, ensuring that enterprise marketing ecosystems align with long-term business objectives while supporting innovation, operational excellence, scalability, and profitability.

You will also act as an ambassador of VML MAP values, principles, and ways of working, contributing to the growth and evolution of the wider Tech &amp; Data practice.

More specifically, your responsibilities will include:

Strategic Vision &amp; Enterprise Roadmaps
<ul>
<li>Define and maintain enterprise MarTech architectural roadmaps aligned to both short-term and long-term business goals.</li>
</ul><ul><li>Translate complex business strategies into scalable technical visions and actionable transformation plans.</li>
</ul><ul><li>Align enterprise architecture with broader business and marketing objectives to support growth and customer-centricity.</li>
</ul><ul><li>Support clients in defining future-state architecture and transformation strategies.</li>
</ul>
Enterprise Architecture &amp; MarTech Orchestration
<ul>
<li>Design and orchestrate complex enterprise MarTech ecosystems involving multiple platforms, marketing clouds, vendors, integrations, and data sources.</li>
</ul><ul><li>Define scalable architectural blueprints and integration patterns across disparate systems and cloud environments.</li>
</ul><ul><li>Ensure interoperability, scalability, performance, reliability, and operational efficiency across the wider technology landscape.</li>
</ul><ul><li>Simplify and optimise enterprise ecosystems while maintaining alignment with strategic business goals</li>
</ul>
Data, Governance, Privacy &amp; Security
<ul>
<li>Define enterprise-wide data architecture strategies, governance principles, and integration standards.</li>
</ul><ul><li>Ensure compliance with data privacy regulations such as GDPR and CCPA through Privacy by Design principles.</li>
</ul><ul><li>Establish architectural governance frameworks, standards, and best practices.</li>
</ul><ul><li>Ensure enterprise solutions maintain strong security, scalability, and data quality standards.</li>
</ul>
Innovation &amp; Emerging Technologies
<ul>
<li>Drive innovation initiatives and continuously evaluate emerging MarTech, AI, and cloud technologies.</li>
</ul><ul><li>Identify opportunities to improve client ecosystems, operational maturity, and customer experiences through modern technology adoption.</li>
</ul><ul><li>Stay up to date with evolving industry trends, enterprise architecture patterns, and best practices</li>
</ul><ul><li>Champion AI adoption and innovation initiatives where relevant.</li>
</ul>
Consultancy, Client Leadership &amp; Business Growth
<ul>
<li>Act as a trusted advisor to senior client stakeholders, including CMOs, Enterprise Architects, and business leadership teams.</li>
</ul><ul><li>Influence strategic decision-making by connecting business needs with enterprise technology opportunities</li>
</ul><ul><li>Support pre-sales, strategic consulting, innovation initiatives, and transformation programs.</li>
</ul><ul><li>Partner with Account, Strategy, and Solution Consulting teams to identify growth opportunities and shape enterprise solution approaches.</li>
</ul><ul><li>Balance technical excellence with commercial pragmatism to drive both client value and sustainable delivery outcomes.</li>
</ul>
Cross-Capability Collaboration &amp; Technical Leadership
<ul>
<li>Operate across cross-functional and cross-capability teams, including Tech &amp; Data, Experience, Strategy, Paid Media, Marketing Operations, Solution Consulting, and Account capabilities.</li>
</ul><ul><li>Provide technical leadership across large-scale and complex client engagements.</li>
</ul><ul><li>Mentor and support Solutions Architects, Technical Architects, Developers, and other technical specialists.</li>
</ul><ul><li>Drive alignment across global teams, portfolios, and capabilities to promote reusable enterprise patterns and best practices.</li>
</ul><ul><li>Contribute to communities, guilds, knowledge-sharing initiatives, and capability growth across VML MAP.</li>
</ul>
Operationalisation &amp; Continuous Improvement
<ul>
<li>Support the stabilisation, optimisation, and operationalisation of enterprise MarTech ecosystems.</li>
</ul><ul><li>Ensure enterprise solutions deliver measurable business outcomes and long-term operational success.</li>
</ul><ul><li>Oversee KPIs, performance metrics, and ROI expectations across enterprise platforms.</li>
</ul><ul><li>Participate in resolving complex technical and operational challenges across client ecosystems.</li></ul> 


Who are you going to work with?

You will operate at the intersection of business and technology, engaging with a broad spectrum of stakeholders internally and externally.

You will work closely with:
<ul>
<li>C-suite stakeholders, including CMOs and enterprise leadership teams.</li>
</ul><ul><li>Client architects, technical teams, and external vendors.</li>
</ul><ul><li>Internal Account, Strategy, Experience, Paid Media, Marketing Operations, and Solution Consulting teams.</li>
</ul><ul><li>Technical Architects, Solutions Architects, Developers, Data Engineers, TPMs, and other Tech &amp; Data specialists.</li>
</ul><ul><li>Communities, Guilds, and innovation initiatives across the wider VML MAP organisation.</li>
</ul>
At VML MAP, we value diversity, collaboration, innovation, and continuous growth. We empower our leaders to bring both strategic thinking and personal leadership into their day-to-day work while helping others grow and succeed.

What do you bring to the table?

As a person, you are a strategic and influential technology leader with strong emotional intelligence and consultancy capabilities. You can navigate ambiguity, influence senior stakeholders, and connect business strategy with enterprise technology direction.

You are highly collaborative, self-driven, innovative, and commercially aware, with a passion for mentoring others and contributing to the wider growth of the organisation.

You are comfortable operating across both strategic transformation discussions and complex enterprise technology challenges.

In addition, you have:
<ul>
<li>10+ years of progressive experience in technical architecture, with extensive experience operating in Enterprise Architect roles within MarTech ecosystems</li>
</ul><ul><li>Deep expertise across Salesforce Marketing Cloud and broader enterprise MarTech platforms such as Data Cloud, CDPs, CRM, Analytics, CMS, AdTech, and cloud ecosystems.</li>
</ul><ul><li>Proven experience designing and governing enterprise-wide marketing technology landscapes across multiple vendors and cloud environments.</li>
</ul><ul><li>Strong understanding of enterprise architecture principles, integration patterns, API strategies, cloud solutions, scalability, reliability, and performance optimisation.</li>
</ul><ul><li>Experience defining enterprise data architecture, governance models, and privacy-by-design frameworks.</li>
</ul><ul><li>Demonstrated experience influencing business outcomes through enterprise technology strategy and consultancy.</li>
</ul><ul><li>Strong stakeholder management and influencing skills, including experience engaging with executive leadership and senior client stakeholders.</li>
</ul><ul><li>Experience supporting pre-sales, innovation initiatives, strategic consulting, and business development activities.</li>
</ul><ul><li>Passion for mentoring, knowledge sharing, and growing technical communities.</li>
</ul><ul><li>Strong understanding of the digital agency landscape and consultancy-driven client delivery models.</li>
</ul><ul><li>Experience working across global teams and cross-functional organisations.</li>
</ul><ul><li>Familiarity with enterprise architecture frameworks such as TOGAF and their practical application within MarTech ecosystems.</li>
</ul>
A leader in personalised customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanise the relationship between brands and customers through hyper-personalisation at scale, marketing automation, CRM, and data-driven experiences.

With the brain of a consultancy, the heart of an agency, and the power of technology and data, we work with some of the world's most admired brands to help them become truly customer-centric organisations.

As an Enterprise Architect, you will play a critical role in shaping and evolving enterprise MarTech landscapes, driving innovation, solving complex integration challenges, and aligning technology ecosystems with strategic business outcomes.

Together, we are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.

#LI-EMEA<div>
About WPP

WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company &ndash; powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

When you click &quot;Apply now&quot; below, your information is sent to MAP/VML. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.</div></div>

Enterprise Architect - Salesforce Marketing Cloud

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