Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use up-to-date frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Data Engineering Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), Salesforce CRM Analytics, SAS DataFlux ETL Tools Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Role Summary Technical Delivery Manager will lead the end to end implementation of the Bank s Enterprise Data Lakehouse program, managing delivery governance, technology integration, and cross functional execution. The role blends program leadership with strong hands on technical expertise across data platforms, integration technologies, analytics, and governance frameworks.

Key Responsibilities Lead the overall delivery of the Data Lakehouse program, supported by project managers and SMEs. Drive weekly status reviews, risk management, change control, and program level reporting. Coordinate with Bank stakeholders, manage escalations, and participate in governance forums including steering committees. Oversee scope execution across ingestion (batch, CDC, streaming), ETL/ELT, MDM, governance, analytics, reporting, and downstream integration.

Required Qualifications Minimum 15+ years Program Management experience in Data Warehouse/Data Lake/Data Lakehouse programs in Scheduled Commercial Banks (1000 branches). MBA or Engineering Graduate with PMI / Prince2 certification.

Technical Skills Data

Engineering & Ingestion Deep understanding of ETL/ELT frameworks, transformation logic, error handling, validation, and job scheduling. Hands on experience with CDC (Change Data Capture), batch processing, streaming ingestion, and workflow orchestration. Familiarity with parallel processing, in database processing,



MapReduce interfaces, and optimization for large volumes.

Data Lakehouse Architecture

Clear knowledge of Bronze–Silver–Gold architecture, distributed storage, metadata layers, ACID tables, versioning, snapshots, and partitioning. Ability to interpret and validate architecture covering table formats, schema evolution, concurrent read/write, and federated queries. Data Governance, MDM & Data Quality Experience in Master Data Management, metadata management, data lineage, data quality rules, standardization, survivorship, and golden record creation.

Knowledge of governance frameworks covering access control, audit trails, approvals, and secure workflows. Analytics, BI, and AI Understanding of analytics workloads including ML, predictive modeling, in memory computing, and analytical data processing (cleansing, transformations). Familiarity with open-source analytical ecosystems (Python, statistical libraries, dashboarding tools).

Knowledge of BI/reporting layers, dashboards, and KPI design. Infrastructure, Platform & Cloud Working knowledge of distributed architecture, storage tiers, replication, redundancy, hardware sizing, workload management, and performance tuning. Understanding of multi vendor hardware, virtualization, backup/archival systems, and DR/DC deployments.

Security, Compliance & Observability Understanding of operational security, SIEM integrations, vulnerability remediation, DR testing, and compliance with ISSP/Bank security policy.

Experience with workload monitoring, observability tools, incident/problem/change management (ITSM aligned). Programming & Scripting Good working familiarity with data engineering and analytical programming languages (Python, R, Scala, Spark, SQL) to guide technical teams.

Preferred Competencies

Strong architectural evaluation capability for banking-scale data platforms. Ability to manage multi-vendor delivery teams and complex technology ecosystems. Excellent stakeholder communication and executive reporting skills.

📌 Custom Software Engineer (Chennai)
🏢 Accenture in India
📍 Chennai