Job Purpose
Own delivery governance and solution architecture for the Enterprise Data Platform. Define and oversee end?to?end data solutions—including batch and real?time pipelines—using SQL, Python, and PySpark with robust focus on streaming, Change Data Capture (CDC), and database mirroring. Translate business needs (including Loan Management System use cases) into scalable, secure, and cost?effective data architectures and integration patterns.Duties and Responsibilities
• Define target?state and incremental roadmaps for data platforms and domain solutions; produce HLD/LLD, logical/physical models, and interface contracts.
• Lead PMO activities: scope planning, backlog management, sprint planning, risk/issue/decision logs, dependencies, release planning, and stakeholder reporting.
• Architect real?time and batch data ingestion using SQL, Python, PySpark; design streaming jobs (e.g., Structured Streaming) with CDC and database mirroring for near?real?time use cases.
• Create Data Flow Diagrams (DFDs) and end?to?end data architecture involving multiple publishers/consumers,



defining SLAs/SLOs and data contracts.
• Drive integration patterns across systems (APIs, event streaming, file?based, message queues) including schema evolution and idempotency strategies.
• Establish data quality, observability, and lineage standards (validation, alerts, runbooks) across environments.
• Ensure security, privacy, and compliance (access controls, encryption, PII handling) aligned with enterprise policies.
• Coordinate with internal teams (BI/Analytics, App Dev, Infra/Security, DevOps) and external vendors/partners for delivery and support.
• Review estimates, monitor burn/cost, track delivery to milestones; drive retrospectives and continuous improvement.
• Support UAT, cutover, and hypercare; perform RCA for incidents and implement preventive actions.
• Maintain high?quality documentation (architecture packs, runbooks, decision records) and conduct knowledge share sessions.Key

📌 Senior Business Analyst (Pune)
🏢 Bajaj Finance
📍 Pune