At a Glance
- Tasks: Lead enterprise-scale data architecture and drive modern data platforms.
- Company: Join a forward-thinking company focused on innovation and inclusivity.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- 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.
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/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
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.
DE&A - Core - Advanced Data Engineering - Advanced Data Engineering (Other) employer: Zensar
As a leading employer in the data engineering sector, we offer an innovative work culture that prioritises collaboration and professional growth. Our London office is at the forefront of cloud and AI technologies, providing employees with unique opportunities to lead enterprise-scale data architecture initiatives while benefiting from comprehensive training and mentorship programmes. We are committed to fostering an inclusive environment where every team member can thrive and contribute to impactful data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land DE&A - Core - Advanced Data Engineering - Advanced Data Engineering (Other)
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We think you need these skills to ace DE&A - Core - Advanced Data Engineering - Advanced Data Engineering (Other)
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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