Lead Data Engineer role at Brillio focusing on AI & Data Engineering with expertise in Azure and MS Fabric. Collaborate within the Data Engineering team in Pune, Maharashtra, India.
About the role
- Data Architect developing domain-level data solutions in a compliance-focused banking environment. Collaborating with teams to ensure data architecture meets business needs and regulatory requirements.
Responsibilities
- Develop conceptual and logical data architectures for specific domains, squads, or projects, adapting enterprise frameworks to local needs while ensuring alignment with governance standards and regulatory obligations.
- Integrate data quality metrics, lineage tracking, metadata standards, and privacy/security controls into data architectures, ensuring that solutions can reliably support risk data aggregation and timely reporting as mandated by international banking guidelines.
- Work closely with Data Modellers, providing detailed architectural artifacts (architecture artefacts, diagrams, data flows) to guide the creation of logical and physical data models.
- Collaborate with Data Engineers, Data Governance teams, and other stakeholders to clarify architectural intent, resolve technical challenges, and ensure that resulting data solutions are both compliant and optimised for performance, scalability, and cost efficiency.
- Take part in proofs of concept (POCs), pilot projects, and sandbox initiatives to test and refine architectural approaches, ensuring flexibility and adaptability to evolving risk reporting requirements and emerging technologies.
- Identify opportunities to improve domain-level architectures based on feedback from squads, changes in regulatory landscapes, advancements in analytics tools, or shifting business priorities.
Requirements
- Bachelor’s degree in Computer Science, Informatics, Information Systems, or a related field
- Minimum of 6–8 years experience in data architecture, data warehousing, cloud-based BI solutions, and an understanding of data governance and regulatory frameworks in a banking or similarly regulated environment.
- Demonstrated ability to balance technical optimisation with governance and compliance imperatives, ensuring data lineage, quality, and security are integral to architectural designs.
- Strong communication, problem-solving, and collaborative skills to work effectively with technical teams, governance stakeholders, and business units.
- Competencies & Skills: Data Architecture & Modelling Techniques (Conceptual/Logical)
- Alignment with Governance, Data Quality, and Regulatory Standards
- Performance, Scalability & Cost Optimisation Focused
Benefits
- Flexible working arrangements
- Professional development opportunities
Job title
Job type
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Tech skills
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