Director Cloud Data engineer

1 day ago

Bengaluru, Karnataka, India Weekday AI Full time ₹ 40,00,000 - ₹ 60,00,000

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 40-60 LPA)

Min Experience: 16 years

Location: Bangalore

JobType: full-time

As the Director of Cloud Data Engineering, you will define, drive, and execute the organization's cloud-first data strategy. You will lead cross-functional engineering teams responsible for designing scalable data architectures, migrating legacy systems to modern cloud ecosystems, and implementing robust data engineering frameworks that enable advanced analytics, AI, and enterprise decision-making. This is a strategic leadership role requiring hands-on technical depth, architectural oversight, and the ability to influence stakeholders at all levels.

Key Responsibilities

Cloud & Data Migration Leadership

  • Lead end-to-end data migration and cloud migration programs from legacy on-premise platforms to GCP and MGCP.
  • Develop future-state migration roadmaps, modernization patterns, and best practices for data platforms.
  • Oversee design and implementation of secure, scalable, and cost-optimized cloud data architectures.

Architectural Strategy & Execution

  • Define the enterprise-wide cloud data engineering blueprint focused on scalability, performance, security, and operational excellence.
  • Drive architecture reviews, solution design, migration frameworks, and engineering standards.
  • Evaluate industry trends, cloud capabilities, and emerging technologies to ensure the organization stays ahead in the cloud modernisation curve.

Team Leadership & Stakeholder Management

  • Lead and mentor large, distributed engineering teams including data engineers, cloud architects, and DevOps specialists.
  • Collaborate with product, security, infrastructure, and business stakeholders to deliver aligned outcomes.
  • Provide executive leadership with insights on cloud strategy, budget planning, and technology investments.

Data Platform Engineering

  • Oversee development of cloud-native ETL/ELT pipelines, data ingestion frameworks, real-time streaming, and data transformation systems.
  • Ensure data governance, metadata management, lineage tracking, and compliance with regulatory and security standards.
  • Build and optimize data lakes, data warehouses, and lakehouse architectures on GCP and MGCP.

Operational Excellence & Governance

  • Establish KPIs, SLAs, and performance metrics for cloud data platforms.
  • Drive automation, observability, CI/CD adoption, and operational efficiency across engineering teams.
  • Ensure robust disaster recovery, high availability, and cloud cost governance.
Required Skills & Qualifications
  • 16–25 years of progressive experience in data engineering, cloud architecture, and large-scale transformation programs.
  • Expertise in data migration and cloud migration for enterprise systems.
  • Hands-on architecture and engineering experience on GCP and MGCP.
  • Strong knowledge of big data technologies, data modelling, ETL/ELT frameworks, and cloud-native data services.
  • Demonstrated leadership of large engineering teams in high-growth or enterprise environments.
  • Proven ability to influence senior executives and manage complex stakeholder ecosystems.
  • Strong communication, analytical, decision-making, and program-management skills.

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