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Role Overview
We are looking for a hands-on Tech Specialist Software Engineer to lead the design and execution of core capabilities within our Enterprise Data Platform (EDP), spanning data ingestion, access, and governance.
This role is for someone who can operate at both architectural and implementation depth, translating complex, ambiguous data requirements into scalable, production-grade systems, while actively contributing to code, design, and platform evolution.
You will play a critical role in building a platform-first ecosystem that enables teams to onboard, process, and consume data reliably, securely, and efficiently.
Key Responsibilities
1. Architecture & System Design
Translate complex business and data requirements into scalable, resilient platform architectures
Design end-to-end data flows across ingestion (batch/stream), transformation, and consumption layers
Define platform patterns for ingestion, data access (APIs, query layers), and governance (metadata, lineage, policy enforcement)
Clearly articulate trade-offs and decisions across architecture choices (e.g., platform vs bespoke pipelines, batch vs streaming, UI vs code-first)
2. Hands-On Engineering & Execution
Actively contribute to production-grade code across ingestion frameworks, orchestration, and platform services
Build and evolve reusable platform components (connectors, SDKs, APIs, templates)
Drive implementation of data ingestion pipelines (e.g., CDC, batch, streaming) into platforms like BigQuery
Develop services enabling data access patterns (data APIs, query abstraction layers, secure access mechanisms)
Implement governance capabilities including metadata capture, lineage, data quality, and policy enforcement
3. Platform & Developer Experience
Build a platform-first experience that abstracts complexity for downstream teams
Enable both low-code/no-code (UI) and code-first (SDK/API) approaches for data onboarding and processing
Improve developer productivity through standardization, templates, and automation
4. Data Governance & Observability
Design and implement data quality frameworks, validation pipelines, and monitoring
Enable end-to-end lineage and impact analysis
Establish observability for data products (freshness, reliability, usage, cost)
Ensure secure and compliant data access through policy-driven controls
5. Engineering Excellence
Write clean, maintainable, and scalable code following best practices (SOLID, DRY, design patterns)
Lead code reviews and drive a culture of high-quality engineering
Perform root cause analysis and implement long-term fixes, not just patches
Contribute to technical documentation, design reviews, and knowledge sharing
6. Collaboration & Leadership
Partner closely with Product, Data Engineering, and Platform teams
Help shape technical roadmaps and influence platform strategy
Mentor engineers and drive engineering best practices across teams
Act as a technical DRI for critical platform initiatives
What We're Looking For
Strong experience in building large-scale data platforms or distributed systems
Deep expertise in data ingestion patterns (CDC, streaming, batch)
Experience with data access layers, APIs, and query optimization
Strong understanding of data governance (metadata, lineage, data quality, access control)
Proven ability to design AND implement complex systems (not just high-level architecture)
Technology Stack
Programming: Python, Java (or similar)
Data & Cloud: GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Datastream preferred)
Frameworks: Spring Boot, Google ADK (or similar AI/agent frameworks where applicable)
CI/CD & Infra: Terraform, GitHub Actions
Metadata & Governance: DataHub (or similar tools)
Orchestration: Airflow / Astronomer
Nice to Have
Experience with AI Agents / LLM-powered workflows for data automation or observability
Exposure to multi-modal data processing (logs, sensor, image data)
Experience building platform SDKs or developer tooling
Who You Are
You are a builder at heart. You care about writing high-quality code, but also about the systems and platforms that code enables. You take ownership end-to-end, from problem definition to production, and you are driven by impact.
You bring a product mindset to platform engineering, understanding that the ultimate goal is to enable other teams to move faster and more effectively. You value collaboration, enjoy mentoring others, and continuously look for ways to improve both the system and the team around you.
Ford Motor Company (commonly known as Ford) is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903. The company sells automobiles and commercial vehicles under the Ford brand, and luxury cars under its Lincoln luxury brand. Ford also owns Brazilian SUV manufacturer Troller, an 8% stake in Aston Martin of the United Kingdom and a 32% stake in China’s Jiangling Motors. It also has joint ventures in China (Changan Ford), Taiwan (Ford Lio Ho), Thailand (AutoAlliance Thailand), Turkey (Ford Otosan), and Russia (Ford Sollers). The company is listed on the New York Stock Exchange and is controlled by the Ford family; they have minority ownership but the majority of the voting power.
Job ID: 147109695