Manager, Data Engineering, Governance

Job Title

Manager, Data Engineering, Governance & Computation

Function

Data Engineer

Report to

Director, Data Strategy & Analytics

Location

Bhosari, Pune

Overview

The Manager – Data Engineering, Governance, Computation & Tech Architecture leads a multidisciplinary engineering function responsible for the technical architecture, data governance, computational performance, and end‑to‑end data engineering delivery on the Palantir Foundry platform.
This role also serves as the primary partner to Business Analysts and Business Analytics teams—supporting requirement management, business architecture alignment, resource planning, and technical problem-solving across strategic projects.
You will define architectural direction, ensure engineering excellence, enforce governance standards, and drive scalable, secure, and cost‑efficient data solutions across Lear’s enterprise.

Key Responsibilities

Leadership & Collaboration

• Lead and mentor engineering, governance, and computational teams; manage resource allocation and technical problem-solving.
• Partner with Business Analysts and PMs on requirements, scoping, business architecture alignment, and prioritization.
• Drive cross-functional collaboration with Data Science, IT, Security, and business teams.

Technical & Business Architecture

• Own technical architecture for pipelines, datasets, transformations, applications, and integrations in Foundry.
• Translate business architecture (KPIs, processes, workflows) into scalable, governed technical designs.
• Ensure architectural consistency, reuse, performance, and governance alignment.

Data Engineering & Computation

• Oversee design, development, optimization, and lifecycle management of Foundry pipelines and data products.
• Optimize computational workflows: execution graphs, memory, computer usage, and transform efficiency.
• Implement CI/CD, validation, schema evolution, dependency management, and performance tuning.

Governance, Security & Compliance

• Lead Foundry governance operations include Control Panel monitoring, usage oversight, permission reviews, and data security enforcement.
• Oversee AI Evaluation workflows to ensure responsible AI usage, model governance, risk controls, and compliance with enterprise policies.
• Own governance frameworks include Projects, Markings, RBAC, lifecycle standards, and sensitive data protection.
• Ensure compliance with GDPR, CCPA, SOX, ITPM and internal audit expectations.
• Maintain dashboards for lineage, access drift, quality rules, and certification tracking.

Platform, Cost & Performance Optimization

• Partner with Platform Admins on resource queues, identity integration, data connections, and system stability.
• Monitor and optimize computer/storage costs; deliver insights and recommendations to leadership.
• Forecast capacity and support scaling of platform resources and workloads.

Advanced Analytics & ML Integration

• Support deployment and monitoring of ML models and computational algorithms.
• Ensure models use governed, certified, scalable datasets and meet performance standards.

Qualifications

• Bachelor’s/master’s in computer science, Engineering, IT, or related field.
• 10+ years in data/computational engineering; 3+ years in technical team leadership.
• Strong expertise in Palantir Foundry, Python, PySpark, SQL, distributed systems, and data governance.
• Experience with cloud platforms (AWS preferred), ML deployment, and enterprise data compliance.

Core Competencies

• Technical Architecture Leadership
• Data Governance & Security
• Business Architecture Alignment
• Resource Planning & Problem Solving
• Performance Optimization & Cost Stewardship
• Cross-functional Communication & Stakeholder Management

Why Lear?

Be part of a team that values innovation, excellence, and growth. Join us and make a real impact in a role that blends hands‑on technical expertise with leadership in a collaborative, cutting‑edge environment.

Application

Ready to advance your data engineering career with Lear? Apply now
To apply or request further information, kindly share your updated resume via email, clearly mentioning the Designation in the subject line.