- Senior
- Optionales Büro in Bengaluru
This role is for one of the Weekday's clients
Salary range: Rs 4000000 - Rs 6000000 (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.
Requirements
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.
