Senior Principal Data Architect Job London area,England UK,IT/Tech

Position: Senior Principal Data Architect )

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:

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/GenAI 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, GenAI 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

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