Description

What You'll Do:

• Lead offshore engineering teams in the successful implementation of enterprise GCP data platform initiatives.
• Drive project planning, execution, governance, risk management, and stakeholder communication activities.
• Collaborate with data architects to implement target-state GCP data architecture.
• Oversee implementation of Medallion Architecture across Bronze, Silver, and Gold layers.
• Ensure successful delivery of scalable ingestion, transformation, and semantic layer solutions using GCP-native services.
• Manage development of reusable data pipelines, frameworks, and accelerators.
• Coordinate implementation of data governance, lineage, metadata management, data quality, and security controls.
• Support migration and consolidation of distributed BigQuery environments.
• Drive integration of data from SAP, CRM systems, APIs, flat files, and third-party enterprise applications.
• Monitor project timelines, budgets, dependencies, risks, and delivery milestones.
• Lead sprint planning, estimation, release planning, development reviews, and deployment activities.
• Coordinate with cross-functional teams including data engineers, architects, business stakeholders, and leadership teams.
• Leverage iAURA accelerators for data modeling, migration, reconciliation, observability, and data quality initiatives.
• Ensure adoption of engineering best practices, DataOps standards, and CI/CD processes.
• Mentor and guide engineering teams while fostering a culture of technical excellence and continuous improvement.
• Prepare project status reports, executive dashboards, steering committee updates, and delivery roadmaps.

Expertise You'll Bring:

• 5 to 8 years of experience in Project Management, Data Engineering, Cloud Data Platforms, or Data Modernization programs.
• Proven experience managing enterprise-scale data engineering and cloud transformation projects.
• Strong understanding of Google Cloud Platform (GCP) ecosystem and data services.
• Hands-on knowledge of BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and Cloud Storage.
• Strong understanding of enterprise data architecture, data warehousing, and Lakehouse platforms.
• Experience implementing Medallion Architecture including Bronze, Silver, and Gold layers.
• Solid understanding of Python and SQL for data engineering and analytics projects.
• Experience managing BigQuery migration, modernization, and consolidation initiatives.
• Strong understanding of data governance, metadata management, lineage, data quality, and security frameworks.
• Experience integrating SAP, CRM systems, APIs, flat files, and third-party data sources.
• Expertise in Agile project delivery methodologies and Scrum practices.
• Experience implementing CI/CD pipelines, DataOps frameworks, and DevOps practices.
• Strong stakeholder management and executive communication skills.
• Ability to manage distributed and offshore engineering teams effectively.
• Experience in effort estimation, project planning, resource allocation, and delivery governance.
• Strong risk management, issue resolution, and decision-making capabilities.
• Experience working with enterprise reporting and analytics platforms.
• Knowledge of cloud-native architecture patterns and data modernization strategies.
• GCP Professional Data Engineer Certification is highly desirable.
• Proven ability to mentor teams and drive engineering excellence.
• Excellent analytical, communication, leadership, and problem-solving skills.
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field

Key Skills

Education

Any Graduate