Responsibilities And Impact

Technical Leadership & Solution Delivery

• Lead complex data integration initiatives from design through production deployment, ensuring solutions are scalable, observable, and aligned with enterprise architecture standards
• Design and implement production-grade data pipelines (batch and streaming) that transform raw inputs into trusted curated outputs, incorporating robust error handling, validation, and reconciliation controls
• Establish and evangelize engineering best practices for ETL/ELT patterns, workflow orchestration, data quality controls, and operational observability across the team and value streams
• Drive technical decision-making for pipeline architecture, technology selection, and design patterns, balancing business requirements with technical feasibility and long-term maintainability
• Partner with PPD on technical planning and feasibility, providing realistic estimates, identifying technical dependencies, and shaping scope to ensure achievable delivery commitments
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Enablement & Co-Development

• Lead hands-on enablement with value stream SMEs through pair programming, structured guidance, and co-development sessions—adapting approach based on SME technical capability
• Assess SME technical readiness and recommend appropriate engagement models (SME-led with review, co-development, or led build with validation)
• Build reusable automation components and templates (frameworks for ingestion, validation, transformation, publishing, backfills) that accelerate consistent delivery across domains
• Develop SME technical capabilities through targeted coaching, code reviews, and knowledge transfer, fostering a culture of engineering excellence and continuous learning
• Create and maintain technical documentation, including reference architectures, design patterns, coding standards, and implementation guides
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Quality Assurance & Production Readiness

• Conduct comprehensive code reviews for SME-built and team-developed pipelines, ensuring adherence to standards for maintainability, testing, logging, data validation, and documentation
• Implement data reliability controls including validation rules, reconciliation checks, anomaly detection, and completeness/timeliness monitoring that protect downstream index processes
• Engineer observability and monitoring solutions by implementing logging standards, metrics, alerts, and runbooks that enable effective production support
• Prepare IT-ready handover artifacts including technical documentation, test evidence, operational procedures, and clear support boundaries
• Partner with IT during QA and deployment, resolving issues quickly and ensuring solutions meet enterprise standards for security, supportability, and operational excellence
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Operational Excellence & Continuous Improvement

• Provide L3 support for production business-logic issues, collaborating with value stream SMEs to drive root-cause analysis and implement permanent fixes for recurring failures
• Optimize pipeline performance and cost through appropriate partitioning strategies, caching, incremental processing patterns, and compute resource tuning
• Implement workflow orchestration patterns (scheduling, dependency management, retries, idempotency, parameterization) ensuring pipelines are resilient to upstream variability
• Capture and share lessons learned, updating engineering playbooks, patterns, and standards based on production outcomes and emerging best practices
• Monitor operational metrics related to pipeline reliability, data quality, performance, and cost efficiency; drive continuous improvement initiatives
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Collaboration & Stakeholder Management

• Collaborate with Data Integration Lead to shape team strategy, prioritize initiatives, and align technical approaches with organizational goals
• Partner effectively with AI Solutions and Data Governance teams on cross-cutting concerns including data quality standards, AI pipeline requirements, and compliance
• Engage with Data Value Streams to understand business requirements, validate technical solutions, and ensure alignment with domain expertise
• Work with Data Services & Strategy teams (Vendor Governance, Catalog) to establish scalable integration patterns and ensure proper metadata and lineage tracking
• Build strong relationships with IT and PPD teams to ensure infrastructure readiness, smooth deployments, and operational excellence
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