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

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