At a Glance
- Tasks: Lead enterprise-scale data architecture and governance across cloud and AI ecosystems.
- Company: Join a forward-thinking company driving modern data platforms and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- 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 data 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.
DE&A – Core – Advanced Data Engineering – Advanced Data Engineering (Other) employer: Zensar Technologies
As a leading employer in the data engineering sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through extensive training opportunities and mentorship programmes, ensuring that our team members thrive in their careers. Located in a vibrant tech hub, we provide access to cutting-edge resources and a culture that values diversity and inclusion, making us an exceptional place for professionals seeking meaningful and rewarding employment.
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Zensar Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Zensar Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
