Data Architect

Sibitalent Corp; Detroit (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

Sibitalent Corp is seeking an Architect - Data Engineering to spearhead our data strategy within the Automotive domain. The candidate will design data architectures, models (conceptual/logical/physical), and governance to ensure compliant, scalable data systems.

Expect leadership in complex data projects and cross-functional collaboration across teams. The ideal candidate brings 12-16 years of experience, advanced expertise in data modeling, ETL, and analytics, plus cloud platform experience

Qualifications

• Master’s degree in Data Science or Big Data is preferred.
• Bachelor’s degree in Computer Science/IT or related field is required.
• Strong experience in data architecture and data modeling across conceptual, logical, and physical models.
• Proven experience in data governance and regulatory compliance.

Responsibilities

• Lead complex data projects and guide data strategy across the organization.
• Collaborate with cross-functional teams to drive data-driven decision making.
• Design and manage data models, pipelines, and governance practices to ensure data quality and accessibility.

Skills

Data architecture

Data governance

ETL processes

Data analytics

Education

MTech in Data Science or Big Data

BEng/BE in CSE or IT

Tools

GCP BigQuery

AWS

OCI

Data visualization libraries

Job description

• Architect - Data Engineering, with Automotive domain
• having 12-16 years of experience, excels in designing and managing an organization's data strategy effectively.
• Possesses advanced expertise in data architecture, with a thorough understanding of data modeling to create conceptual, logical, and physical data models that align with business objectives.
• Demonstrates proficiency in data governance to ensure responsible data management and compliance with regulatory requirements and industry standards.
• Brings expertise in ETL processes and data analytics for efficient data lifecycle management and impactful insights.
• Has substantial hands-on experience in leading complex data projects and collaborating with cross-functional teams to drive data-driven decision-making.
• Educational background includes a Master of Technology in Data Science or Big Data, along with a Bachelor of Engineering or Bachelor of Technology in Computer Science or Information Technology.
• Certifications such as Google Cloud Professional Data Engineer and Certified Data Management Professional are preferred for professional development.
• Experience with cloud platforms like AWS, GCP, or OCI, and hands-on experience with GCP BigQuery for data analysis and management are good to have.
• Familiarity with data visualization libraries and techniques is also considered beneficial.

Skills