Senior Platform Product and Technical Lead

Company:

Boeing has a current need for a Senior Platform Product and Technical Lead to drive the modernization of legacy ETL pipelines to a scalable configuration-driven ETL framework running on AWS. This role will lead end-to-end migration efforts define reusable data pipeline patterns and ensure high-quality governed and performant data solutions aligned with enterprise standards for migrating existing legacy pipelines to new config-driven framework as well as to support future pipelines needs of the enterprise.

Position Responsibilities:

• Lead large scale ETL modernization initiative migrating legacy pipelines (like DataStage GoldenGate HVR etc.) to a scalable configuration-driven metadata-based ETL framework and ensure adherence to data governance security and compliance standards.

• Lead the implementation of a metadatadriven reusable ETL framework on AWS cloud data platform and champion repeatable selfservice cloud and data architecture patterns that enable teams to deploy scalable highperformant maintainable and compliant data pipelines autonomously across the enterprise.

• Lead end-to-end data integration and ETl/ELT processes to ingest transform and deliver complex structured and unstructured data into a governed Data Lakehouse enabling seamless access for analytics reporting and data science workloads.

• Designing and solutioning cloud-native & Cloud agnostic data platforms and data engineering solution on AWS and experience in SaaS products like Databricks to ensure portability resilience and consistent governance across environments

• Drive automation DevOps/DevSecOps and Infrastructure as Code (IaaC) initiatives to deliver repeatable testable and deployable artifacts and accelerate migrations.

• Troubleshoot and resolve implementation issues throughout the SDLC; monitor architecture compliance and operational health.

• Design and configure data pipelines with enterprise orchestration and scheduling tools and establish monitoring alerting and operational runbooks for production support.

• Provide technical leadership mentorship and guidance to ETL engineering teams provide best coding practices enable team in automation strategies and tools conduct peer reviews and knowledge sharing across distributed teams.

• Build and maintain strong relationships with vendors partners and crossfunctional teams own stakeholder communications and collaboration channels and drive accountability and organizational change through regular updates to product managers DBAs architects and senior leadership.

• Operationalize and standardize cloud platforms (AWS/Azure) applying architecture patterns guardrails and enterprise standards for scalability reliability security compliance and cost control.

• Must be a U.S. Person (Green Card holder or US Citizenship)

• Must be located in Seattle area or willing to relocate at your own expense. Will consider those who live in Southern California or Dallas.

• Must be willing to go into a Boeing facility as needed

Required Skills/Experience (Must HAVE):

• Bachelors 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 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)

Preferred Skills/Experience (Nice to Have):

• 10 years of strong hands-on experience with ETL tools (i.e. DataStage Informatica etc.)

• 7 years of proven experience with Databricks and Apache Spark (PySpark/Spark SQL)

• Experience with cloud platforms (AWS Azure GCP) and cloud data services (e.g. BigQuery Cloud Storage DataProc Snowflake)

• Experience with database design and management across SQL NoSQL and columnar stores; migrating/integrating complex on prem sources (e.g. SAP) to cloud

• Experience with data replication tolls like GoldenGate and HVR Experience with streaming and event-driven systems and realtime ingestion patterns

• Experienced in FinOps-driven cloud cost optimization and capacity planning to balance cost performance and scalability for cloud data environments.

• Experience with Agile software development lifecycle and tooling (ADO JIRA)

Typical Education & Experience:
Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 6 or more years related work experience or an equivalent combination of education and experience (e.g. Master4 years related work experience 10 years related work experience etc.).

Relocation:

Relocation assistance is offered for eligible candidates.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana cocaine opioids amphetamines PCP and alcohol when criteria is met as outlined in our policies.

At Boeing diversity equity and inclusion are enduring company values. We strive to live these values every day not only because its the right thing to do but because our success depends on it. The companys commitment to diversity and inclusion providing a work environment for all employees that is welcoming respectful and equitable with opportunities for personal and professional development.

Pay Range:

Lead (Level 5): $187200 - $220000

Sr. Lead (Level 6): $223200 - $260000

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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