Senior Data Architect

[{"Salary":null , "Posting_Title":"Senior Data Architect" , "Is_Locked":false , "City":"Bangalore" , "Role_Overview":"Own and drive the end-to-end architecture of Finance data platforms, including scalable data models and robust ETL/ELT pipelines. Ensure high-quality, reliable, and auditable financial data through strong governance and engineering best practices. Provide technical leadership and collaborate cross-functionally to align data strategy with business and reporting needs.","Industry":"Financial Services","Job_Description":"

**Responsibilities

**Data Architecture & Modeling **:

• Define and own the architecture for Finance data platforms and datasets.

  • Design enterprise-grade transactional data models using MySQL and PostgreSQL.

    • Design scalable analytical data models using Hive, Spark, and data warehouse technologies.

      • Establish standards for fact, dimension, aggregate, historical, and reporting data structures.

        • Define table grain, primary keys, partitioning strategies, indexing, retention policies, and historical tracking approaches.

          • Design data contracts and integration patterns across Finance systems and downstream consumers.

            **Data Pipeline Architecture **:

            • Architect and guide the implementation of ETL/ELT pipelines supporting Finance use cases.

              • Design scalable ingestion and processing patterns including batch, incremental, CDC, backfill, reconciliation, and recovery workflows.

                • Ensure reliability, scalability, observability, and maintainability of data pipelines.

                  • Drive architecture decisions for performance optimization and cost efficiency.

                    **Governance & Quality **:

                    • Establish data quality, lineage, metadata, ownership, and governance standards.

                      • Define reconciliation frameworks and controls to ensure financial data accuracy and auditability.

                        • Drive best practices for monitoring, validation, and operational excellence.

                          • Partner with stakeholders to ensure compliance with financial reporting requirements.

                            **Technical Leadership **:

                            • Provide architectural guidance and design reviews across Finance data initiatives.

                              • Mentor engineers and data practitioners on modeling and architecture best practices.******************

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