At a Glance
- Tasks: Lead enterprise-scale data architecture and drive modern data platforms.
- Company: Join a forward-thinking tech company focused on innovation and inclusivity.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and career advancement.
- Why this job: Shape the future of data architecture and make a real impact in AI-driven ecosystems.
- Qualifications: 15+ years in Data Engineering with strong expertise in cloud architecture and governance.
The predicted salary is between 70000 - 90000 £ per year.
Job Title
Senior Principal Data Architect (London - UK)
Role Summary
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
- Own end-to-end Data Architecture strategy across enterprise platforms (Cloud, On-prem, Hybrid).
- Drive Delivery Governance ensuring quality, timelines, financials, and stakeholder alignment.
- Establish and operationalize Data Governance frameworks (data quality, lineage, catalog, compliance).
- Lead and enhance Informatica MDM (multi-domain) implementations, upgrades, and optimization.
- Architect Cloud Data Platforms (Azure/GCP/AWS) leveraging modern data stack (Data Lakehouse, ETL/ELT, streaming).
- Enable AI/Gen AI adoption by designing data foundations for ML, analytics, and intelligent automation.
- Partner with business and IT leadership to translate data strategy into execution roadmaps.
- Define and enforce architecture standards, best practices, and reusable accelerators.
- Mentor teams and influence large-scale data transformation programs.
- Must-Have Skills & Experience
- 15+ years in Data Engineering / Data Architecture / Data Platforms
• Strong expertise in
- Informatica ETL, MDM (Multidomain / Customer 360 / Data Governance tools)
- Cloud Architecture (Azure, GCP, AWS – data services stack)
- Data Governance tools & framework implementation
- Enterprise Data Modeling (Canonical, Dimensional, Data Vault)
- Proven track record in Delivery Governance & large program leadership
- Experience in AI/ML data readiness, Gen AI ecosystem exposure
• Strong hands‑on with
- ETL/ELT tools (ADF, Informatica, Databricks)
- Data Lakes / Lakehouse architectures
- SQL, Big Data technologies
- Domain experience in BFSI / Insurance preferred
- Leadership & Behavioral Expectations
- Executive stakeholder management (CXO-level interactions)
- Strong ownership of P&L, delivery excellence, and risk management
- Ability to drive innovation, accelerators, and reusable frameworks
- High focus on quality, governance, and scalable design
- Nice To Have
- Experience in MDM modernization / migration programs
- Exposure to data privacy regulations (GDPR, etc.)
- Certification in Cloud / Data Architecture frameworks
- Outcome Expectation (Success Metrics)
- Robust, scalable enterprise data architecture in place
- Improved data quality, governance maturity, and MDM adoption
- Successful delivery of complex data programs with high stakeholder satisfaction
- Increased AI/analytics enablement through strong data foundations
We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace.
All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
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