We're seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role inWe're seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role inthe development and maintenance of our Enterprise Data Platform. In this role, you'll beresponsible for designing, building, and optimizing scalable data pipelines within our GoogleCloud Platform (GCP) environment. You'll work with GCP Native technologies likeBigQuery, Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance.This is a fantastic opportunity to leverage your full-stackexpertise, collaborate with talentedteams, and establish best practices for data engineering at Ford.What You'll Do: (Responsibilities)Data Pipeline Architect & Builder: Spearhead the design, development, and maintenance ofscalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized,high-quality, and optimized for analytical use. Leverage cutting-edge tools and technologies,including Python, SQL, and DBT/Dataform, to build robust and efficient datapipelines.End-to-End Integration Expert: Utilize your full-stack skills to contribute to seamless end-to-enddevelopment, ensuring smooth and reliable data flow from source to insight.GCP Data Solutions Leader: Leverage your deep expertise in GCP services (BigQuery, Dataflow,Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet butexceed business needs and expectations.Data Governance & Security Champion: Implement and manage robust data governancepolicies, access controls, and security best practices, fully utilizing GCP's native security featuresto protect sensitive data.Data Workflow Orchestrator: Employ Astronomer and Terraform for efficient data workflowmanagement and cloud infrastructure provisioning, championing best practices in Infrastructureas Code (IaC).Performance Optimization Driver: Continuously monitor and improve the performance,scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resourceutilization and cost-effectiveness.Collaborative Innovator: Collaborate effectively with data architects, application architects,service owners, and cross-functional teams to define and promote best practices, designpatterns, and frameworks for cloud dataengineering.Automation & Reliability Advocate: Proactively automate dataplatform processes to enhancereliability, improve data quality, minimize manual intervention, and drive operational efficiency.Effective Communicator: Clearly and transparently communicate complex technical decisions toboth technical and non-technical stakeholders, fostering understanding and alignment.Continuous Learner: Stay ahead of the curve by continuously learning about industry trends andemerging technologies, proactively identifying opportunities to improve our data platform andenhance our capabilities.Business Impact Translator: Translate complex business requirements intooptimized data asset designs and efficient code, ensuring that our data solutions directlycontribute to business goals.
Documentation & Knowledge Sharer: Develop comprehensive documentationfor data engineering processes, promoting knowledge sharing, facilitating collaboration, andensuring long-term system maintainability.
What You'll Bring: (Qualifications)
o Bachelor's degree in Computer Science, Information Technology, InformationSystems, Data Analytics, or a related field (or equivalent combination of educationand experience).o 5-7 years of experience in Data Engineering or Software Engineering, with at least
2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred).
o Strong proficiency in SQL, Java, and Python, with practical experience in designingand deploying cloud-based data pipelines using GCP services likeBigQuery, DataForm, Dataflow, and DataProc.o Solid understanding of Service-Oriented Architecture (SOA) and microservices,and their application within a cloud dataplatform.o Experience with relational databases (e.g., PostgreSQL, MySQL),NoSQL databases, and columnar databases (e.g., BigQuery).o Knowledge of data governance frameworks, data encryption, and data maskingtechniques in cloud environments.o Experience with unstructured data manipulation and extractiono Experience building AI-ready data productso Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraformand Tekton, and other automation frameworks.o Excellent analytical and problem-solving skills, with the ability to troubleshootcomplex data platform and microservices issues.o Experience in monitoring and optimizing cost and compute resources forprocesses in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).o A passion for data, innovation, and continuous learning.