Senior Platform Product Lead

Boeing

. Lead large scale ETL modernization initiative migrating legacy pipelines to a scalable, configuration-driven, metadata-based ETL framework .

Posted 5/5/2026full-timeSeattle • California, Texas, Washington • 🇺🇸 United StatesSenior💰 $187,200 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAnsibleApacheAWSAzureCloudEC2ETLInformaticaJavaJenkinsPySparkPythonSDLCSparkSQLTerraform

About the role

Key responsibilities & impact

Lead large scale ETL modernization initiative migrating legacy pipelines to a scalable, configuration-driven, metadata-based ETL framework
Ensure adherence to data governance, security, and compliance standards
Lead the implementation of a metadata‑driven, reusable ETL framework on AWS cloud data platform
Design and configure data pipelines with enterprise orchestration and scheduling tools
Provide technical leadership, mentorship, and guidance to ETL engineering teams
Build and maintain strong relationships with vendors, partners, and cross‑functional teams
Operationalize and standardize cloud platforms (AWS/Azure)
Troubleshoot and resolve implementation issues throughout the SDLC

Requirements

What you’ll need

Bachelor’s Degree or higher in Computer Science, Engineering, Information Systems, or equivalent practical experience
7+ years of strong hands-on experience with ETL tools (i.e. DataStage, Informatica, etc.,)
5+ years of proven experience with Databricks and Apache Spark (PySpark/Spark SQL)
3+ years of experience in designing and implementing metadata-driven, pattern-based ETL/ELT frameworks
3+ years of experience with AWS cloud platform managed services (VPC, EC2, S3, IAM, KMS, Secrets Manager), cloud data lake and data warehouses
5+ years of experience with CI/CD pipeline implementation, and DevOps/DevSecOps practices (e.g. Github/Gitlab, Terraform, Ansible, Jenkins)
Demonstrated experience in large-scale data pipeline migration to cloud data platform
Strong skills in performance tuning and optimization of new and migrated data pipelines
3+ years of experience with workflow orchestration tools (i.e. Autosys, Airflow, Databricks Workflows)
5+ years of deep hands-on experience in data security, governance, and compliance, including encryption, role-based access (RBAC), metadata management, and regulatory alignment (FedRAMP, NIST, GDPR)
Proven experience in designing and building enterprise data platforms, data modeling, schema design, data warehouses, data lakes, data architecture patterns, repeatable ETL/ELT pipelines
Experience with programming languages used for data engineering (e.g., Python, SparkSQL, PySpark, Shell, Java) and experience with distributed processing frameworks
Hands-on experience with data ingestion and data integration technologies including batch, streaming, CDC
Proven ability to lead cross-functional teams and manage complex delivery programs
Leadership, mentoring, strong written/oral communication, and ability to work across distributed teams and vendors
Experience with monitoring and observability for data systems (logging, metrics, alerting, lineage tools)

Benefits

Comp & perks

Relocation assistance for eligible candidates
Drug Free Workplace
Commitment to diversity, equity, and inclusion

ATS Keywords

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Hard Skills & Tools

ETL toolsDataStageInformaticaDatabricksApache SparkPySparkSpark SQLAWS cloud platformCI/CD pipelinedata security

Soft Skills

technical leadershipmentorshipcommunicationrelationship buildingcross-functional team managementproblem-solvingperformance tuningguidance