The Role
Leads enterprise data platform architecture and technical strategy across GCP. Designs and optimizes large-scale batch and real-time pipelines using Spark, BigQuery, Dataflow, Dataproc, Cloud Run, and Pub/Sub. Establishes Terraform and CI/CD standards, security and quality gates, data governance, observability, resilience, and engineering metrics. Partners with executives on roadmaps and build-versus-buy decisions, leads incident resolution, mentors engineers, and drives platform-wide technical excellence.
Summary Generated by Built In
We are seeking a highly accomplished and visionary Advanced Data Engineer / Technical Anchor to join our team. In this role, you will serve as the technical lead and architectural authority, designing enterprise-grade Cloud Data Solution Architectures leveraging Python, Cloud Dataproc (Spark), BigQuery, Astro (Airflow), and Terraform. You will act as a strategic partner between engineering teams and business leadership, establishing organizational CI/CD standards (Tekton, GitHub) and security scanning controls (Checkmarx, FOSSA, SonarQube). You will govern Cloud Run audit signals and GCS log archival frameworks, and mentor engineering talent to maximize the long-term strategic value of our data platform.
Responsibilities- Technical Anchor & Solution Architecture: Act as the lead engineer and domain expert, designing enterprise-grade Cloud Data Solution Architectures, implementing advanced design patterns, and guiding technology selection across the platform.
- Strategic Roadmap Alignment: Partner with business and engineering leaders to align technical roadmaps with organizational goals. Provide strategic advice on "build vs. buy" decisions to maximize long-term business value.
- IaC & CI/CD Strategy: Establish organizational standards for Infrastructure as Code using Terraform. Standardize automated release pipelines via GitHub and Tekton, embedding mandatory quality, security, and license compliance controls (Checkmarx, FOSSA, SonarQube).
- High-Performance Distributed Processing: Architect and optimize large-scale real-time and batch data processing systems leveraging BigQuery, Dataflow, Dataproc, Cloud Run, Pub/Sub, and distributed computing frameworks on GCP.
- Platform Health & Quality Metrics: Establish organizational coding patterns, reusable frameworks, and SLO compliance. Introduce and drive Software Engineering (SWE) metrics, including DORA metrics (lead time, deployment frequency, MTTR, change-failure rate), code coverage, cyclomatic complexity targets, and P99 latency standards.
- Data Governance & Enterprise Security: Drive the strategy and implementation for enterprise data governance, metadata management, data lineage, and strict GCP security controls (IAM, VPC Service Controls, encryption).
- Resilience, Observability & Incident Leadership: Establish deployment and observability standards; lead critical incident resolution and Root Cause Analysis (RCA) to implement permanent solutions and address technical debt.
- Mentorship & Culture: Mentor engineers across teams, conduct high-impact code reviews (Code Guardians), drive cultural change, and represent organizational technical excellence internally and externally (tech talks, blogs, open-source).
- Education & Experience: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, with extensive experience in enterprise data platform architecture, distributed systems, and technical leadership/anchor roles.
- Data Architecture & Processing: Expert mastery of Python, distributed computing with Spark on Cloud Dataproc, and advanced BigQuery data modeling, query optimization, and cost management.
- Programming & Systems Design: Expert mastery of Python, Java, or Scala for distributed computing, real-time streaming, and complex data pipeline creation.
- CI/CD & Security Frameworks: Comprehensive experience integrating Tekton, GitHub, SonarQube, Checkmarx, and FOSSA into automated release gates. Deep knowledge of enterprise GCP security (IAM, Secret Manager) and audit architectures (Cloud Run, Cloud Storage).
- Data Governance & Security Frameworks: Deep experience building data governance, metadata management, data lineage, and security infrastructure within GCP (VPC SC, IAM, KMS).
- Engineering Metrics & Quality Control: Proven experience embedding SWE-centric operational metrics (DORA metrics, code coverage, cyclomatic complexity, latency optimization) into platform operations.
- Executive Leadership & Influence: Exceptional communication skills with a proven track record of influencing cross-team strategies, mentoring engineering talent, driving platform health initiatives, and resolving complex technical blockers.
Skills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
- Extensive experience in enterprise data platform architecture, distributed systems, and technical leadership or technical anchor roles
- Expert mastery of Python
- Expert experience with distributed computing using Spark on Cloud Dataproc
- Advanced BigQuery data modeling, query optimization, and cost management experience
- Expert mastery of Python, Java, or Scala for distributed computing, real-time streaming, and complex data pipelines
- Experience integrating Tekton, GitHub, SonarQube, Checkmarx, and FOSSA into automated release gates
- Deep knowledge of enterprise GCP security, including IAM and Secret Manager
- Experience with Cloud Run and Cloud Storage audit architectures
- Experience building data governance, metadata management, data lineage, and GCP security infrastructure
- Experience with VPC Service Controls, IAM, and KMS
- Experience embedding DORA metrics, code coverage, cyclomatic complexity, and latency optimization into platform operations
- Exceptional communication and cross-team executive influence skills
- Experience mentoring engineering talent and resolving complex technical blockers
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Healthcare Strength — Medical, dental, and vision coverage start on day one with options that include zero-premium plans, free mental health support, and wellness resources. For represented hourly employees, health plans are described as low-cost with strong coverage value.
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Retirement Support — A 401(k) with company match and additional company contributions is available from day one, alongside life and disability coverage. Pension eligibility in certain situations and financial-planning support reinforce long‑term security.
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Parental & Family Support — Paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp‑up program for returning parents, reflect a family‑focused package. Flexible Family Care days and generous time‑off options help address short‑term caregiving and personal needs.
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The Company
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
