At a Glance
- Tasks: Lead enterprise-scale data architecture and drive innovative data solutions.
- Company: Join a forward-thinking tech company focused on cloud and AI advancements.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor and lead transformative projects.
- Why this job: Shape the future of data architecture and make a significant impact in the tech industry.
- Qualifications: 15+ years in data engineering with strong expertise in cloud architecture and governance.
The predicted salary is between 70000 - 90000 £ per year.
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
Senior Principal Data Architect (London - UK) employer: Zensar Technologies
As a Senior Principal Data Architect at our London office, you will join a forward-thinking company that prioritises innovation and excellence in data architecture. We offer a collaborative work culture that fosters professional growth through mentorship and leadership opportunities, alongside competitive benefits that support work-life balance. Our commitment to cutting-edge technology and AI integration ensures that you will be at the forefront of industry advancements, making a meaningful impact on enterprise-scale data solutions.
