Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Cloud Data Architect at Ford Global Career Site

, , United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Data Architecture, GCP, Data Pipelines, Data Modeling, Data Governance, Data Quality, SQL, NoSQL, Python, Java, Hadoop, Spark, Data Lakes, Data Warehouses, Data Marts, DevOps

Industry

Motor Vehicle Manufacturing

Description

Refine and manage a data architecture roadmap in partnership with the Data Product Management Team. Leverage GCP services like Cloud Pub/Sub, Dataflow, and BigQuery to build reliable and efficient data pipelines. Own the conceptual model for a data domain inside the central data platform. Develop and maintain data schemas and models for products within that framework. Ensure data integrity, consistency, and quality across multiple data assets. Learn, know, and understand Ford's enterprise data assets Think creatively about new ways to use the data in our environments to progress the goals of our business. Perform performance tuning and optimization: Identify bottlenecks and optimize the performance of data pipelines to meet business requirements. Stay abreast of emerging technologies and best practices in streaming data: Continuously learn and adopt new technologies and approaches to keep our data architecture at the forefront of the industry. Bachelor's Degree in related field or work experience equivalent 6+ years of experience as a Data Architect or similar role with a strong focus on structured and unstructured data. Experience in Cloud (GCP, AWS, ..), SQL and NoSQL databases, Java, Hadoop, Python, Spark, Data Lakes, Data Warehouses, and Data Marts preferred Strong understanding of distributed systems, data processing frameworks, and data warehousing concepts. Expert in SQL for querying and manipulating data. Experience with Python for data processing, scripting, and automation. Experience with data modeling, data governance, and data quality best practices. Excellent organizational skills Strong written and verbal communication skills with the ability to transfer knowledge to others Experience with DevOps practices and tools Expertise in GCP data services like Cloud Pub/Sub, Dataflow, BigQuery, and related technologies preferred Established and active employee resource groups

Responsibilities

Refine and manage a data architecture roadmap in partnership with the Data Product Management Team. Build reliable and efficient data pipelines using GCP services like Cloud Pub/Sub, Dataflow, and BigQuery.