At a Glance
- Tasks: Lead enterprise-scale data architecture and governance across cloud and AI ecosystems.
- Company: Join a forward-thinking company driving innovation in data architecture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and influence large-scale transformations.
- Why this job: Shape the future of data platforms and make a significant impact on business outcomes.
- Qualifications: 15+ years in Data Engineering/Architecture with strong governance expertise.
The predicted salary is between 70000 - 90000 £ per year.
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 Data Governance tools & framework implementation.
- 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.
- Domain experience in BFSI / Insurance preferred.
- 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 functions.
Senior Principal Data Architect employer: Zensar Technologies
As a Senior Principal Data Architect, you will thrive in an innovative environment that champions data excellence and fosters professional growth. Our company prioritises a collaborative work culture, offering extensive mentorship opportunities and a commitment to cutting-edge technology in cloud and AI ecosystems. Located in a vibrant tech hub, we provide competitive benefits and a dynamic atmosphere that encourages creativity and impactful contributions to enterprise-scale data solutions.
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We think this is how you could land Senior Principal Data Architect
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We think you need these skills to ace Senior Principal Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Zensar Technologies!
✨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.
