VP Engineering Practice

The VP Engineering Practice will lead and manage engineering teams delivering high-quality data and software solutions on a modern cloud data platform. The role drives technical excellence, mentors senior engineers and aligns technical decisions with business and regulatory objectives. You will lead a multiyear platform simplification initiative, coordinating engineering delivery, roadmap planning and stakeholder management. This is a hybrid position based in Pune.

A leading global financial services organisation with a large-scale enterprise data and technology footprint. The company operates in a highly regulated banking environment where reliability, governance and audit-readiness are paramount. It fosters a culture of innovation, collaboration and continuous improvement across its engineering teams.

Responsibilities

• Lead large-scale data engineering initiatives on modern cloud data platforms, delivering resilient, governed and audit-ready data products
• Own end-to-end data delivery across ingestion, transformation, quality, lineage and consumption, with accountability for reliability, SLAs and production stability
• Oversee timelines, team allocation, risk management and task prioritisation to deliver solutions within scope, time and budget
• Drive adoption of standardised engineering practices (SDLC, CI/CD, controls, documentation) across multiple teams and portfolios
• Partner with product, risk, technology control and business stakeholders to shape data strategy and translate business and regulatory outcomes into scalable architectures
• Mentor senior engineers, conduct performance reviews and foster a collaborative, high-performance culture
• Enforce technology standards, facilitate peer reviews and implement robust testing practices
• Lead the engineering and delivery of multiyear platform simplification initiatives, including roadmap and stakeholder management

Requirements

• 15 to 22 years of experience in engineering, with significant leadership of large-scale data engineering initiatives
• Hands-on expertise in DBT, Databricks and Airflow
• Experience managing Databricks estates, with specific expertise in Unity Catalog, Delta Lake and Databricks data quality
• Exposure to Ab Initio, Oracle and AWS technologies
• Understanding of the cards ecosystem
• Deep expertise in Python and SQL, with experience building and governing complex transformation pipelines at scale
• Strong understanding of data quality, metadata, lineage and observability, institutionalised as platform capabilities
• Experience defining engineering standards and architectural guardrails across lakehouse or cloud-native data platforms
• Proven ability to coach senior engineers and drive engineering excellence in a federated enterprise model
• Strong risk and controls mindset, with the ability to influence senior stakeholders

Skills

DBT, Databricks, Airflow, Unity Catalog, Delta Lake, Databricks Data Quality, Python, SQL, Ab Initio, Oracle, AWS, Cards ecosystem, Data quality, metadata, lineage and observability, Lakehouse / cloud-native data platform architecture