Senior Cloud Data Architect
United States
Ford Motor Company
Since 1903, we have helped to build a better world for the people and communities that we serve. Welcome to Ford Motor Company.Materials Management Platform (MMP) is a multi-year transformation initiative aimed at transforming Ford's Materials Requirement Planning & Inventory Management capabilities. This is part of a larger Industrial Systems IT Transformation effort. This position responsibility is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development, Manufacturing, Finance, Purchasing, N-Tier Supply Chain, Supplier Collaboration
- Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
- Build ETL pipelines to ingest the data from heterogeneous sources into our system
- Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data
- Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets
- Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements
- Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure.
- Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments.
- Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures
- Troubleshoot and resolve issues related to data processing, storage, and retrieval.
- Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle
- Implement security measures and data governance policies to ensure the integrity and confidentiality of data
- Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives.
- Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance.
- Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems.
- Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment.
- Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
- 8 years of professional experience in:
- Data engineering, data product development and software product launches
- At least three of the following languages: Java, Python, Spark, Scala, SQL and experience performance tuning.
- 4 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using:
- Data warehouses like Google BigQuery.
- Workflow orchestration tools like Airflow.
- Relational Database Management System like MySQL, PostgreSQL, and SQL Server.
- Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub
- Microservices architecture to deliver large-scale real-time data processing application.
- REST APIs for compute, storage, operations, and security.
- DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.
- Project management tools like Atlassian JIRA
- Automotive experience is preferred
- Support in an onshore/offshore model is preferred
- Excellent at problem solving and prevention.
- Knowledge and practical experience of agile delivery
Even better, you may have..
- Experience in IDOC processing, APIs and SAP data migration projects.
- Experience working in SAP S4 Hana environment
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
This position is a salary grade 8.
This position is a range of salary grades 8.
*Visa Sponsorship is provided for this role*
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs Architecture BigQuery Bigtable CI/CD Computer Science Dataflow Data governance Data pipelines Dataproc DevOps Docker Engineering ETL Finance GCP Git GitHub Google Cloud Industrial Java Jira Kafka Microservices MySQL NoSQL Pipelines PostgreSQL Python RDBMS Scala Security Spark SQL Streaming Terraform Vertex AI
Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave
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