Technical Manager - Data Engineering (GCP)

Technical Manager

As Technical Anchor in Data Engineering for C360 - Customer Warehouse and Data Mart team, acts as Subject Matter Expert on product functionalities, integrations, and anticipated roadmap and is responsible for designing solutions with architecture, strictly adopting technology with standard application stack for development. You will leverage your expertise in GCP services (Data Engineering Pipeline, BigQuery, DataFlow etc.) and related technologies to build and enhance our data pipelines and platforms, ensuring they are scalable, reliable, and adaptable to our evolving needs.

• Requirements Gathering & Prioritization: Elicit and prioritize requirements from stakeholders across the teams, balancing business needs with technical feasibility and resource constraints. This includes actively engaging with data engineers, Technical Anchors, Architects and the business users.
• Product Design & Development: Lead and collaborate with Architects and data engineers to design, develop, and launch new features and improvements to the data ingestion platform. This includes creating detailed product specifications, user stories, and acceptance criteria
• Deliver Data product as a Technical Anchor and manage cloud Data Engineer engineers (GCP) with   Agile/Iterative development using PDO methodologies. 
• Work hands-on with the team and other stakeholders to deliver quality data products that meet our customers’ requirements and needs.
• Product Monitoring & Optimization: Monitor platform performance, user adoption, and identify areas for improvement. This includes analyzing usage data from post launch, conducting user surveys, and gathering feedback.
• Customer Discovery: Regularly engage with POs and PMs to understand their needs, expectations, and define the features
• Leadership Reviews: Prepare and present regular product technical updates and performance reviews to leadership.
• Leverages logging tools such as Tekton, FOSSA, SonarQube, Checkmarx, Cycode to support DevOps and debug production issues
• Foster DevOps CI/CD infrastructure and an Automated Testing mentality and capability. Champion continuous technical improvement for the platform, pursue tech debt opportunities.

• Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field. Master's degree is a plus.
• Overall 8+ years of experience in architecting Data Engineering application using ETL tool and in GCP technologies. Must have deep understanding of data ingestion principles, technologies and the best practices. 
• Minimum 5+ years of hands-on experience with cloud-based data platforms GCP and experience in building, testing, and maintaining software applications in GCP, BigQuery, Python or any major ETL tools
• Minimum 5+ years of experience in building and maintaining CI/CD pipelines for automated application deployments using Jenkins or Tekton or any native cloud-based tool. Dev Security Operations scans like SonarQube, fossa, cycode and checkmarx.

Experience Level

Senior Level