Data Architect

Data Architect

Req number:

R5758

Employment type:

Full time

Worksite flexibility:

RemoteWho we are

CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

We are seeking a highly skilled and experienced Data Architect with a strong background in Big Data technologies, Databricks solutioning, and SAP integration within the manufacturing industry. The ideal candidate will have a proven track record of leading data teams, architect scalable data platforms, and optimizing cloud infrastructure costs. This role requires deep hands-on expertise in Apache Spark, Python, SQL, and cloud platforms (Azure/AWS/GCP). This is a Full-time and Remote position.

Job Description

What You'll Do

• Design and implement scalable, secure, and high-performance Big Data architectures using Databricks, Apache Spark, and cloud-native services.
• Lead the end-to-end data architecture lifecycle, from requirements gathering to deployment and optimization.
• Design repeatable and reusable data ingestion pipelines for bringing in data from ERP source systems like SAP, Salesforce, HR, Factory, Marketing systems etc.
• Collaborate with cross-functional teams to integrate SAP data sources into modern data platforms.
• Drive cloud cost optimization strategies and ensure efficient resource utilization.
• Provide technical leadership and mentorship to a team of data engineers and developers.
• Develop and enforce data governance, data quality, and security standards.
• Translate complex business requirements into technical solutions and data models.
• Stay current with emerging technologies and industry trends in data architecture and analytics.

What You'll Need

• 6+ years of experience in Big Data architecture, Data Engineering and AI assisted BI solutions within Databricks and AWS technologies.
• 3+ Years of Experience with AWS Data services like S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS and others
• 3+ Years of Experience in building Delta Lakes and open formats using technologies like Databricks and AWS Analytics Services.
• Bachelor's degree in computer science, information technology, data science, data analytics or related field
• Proven expertise in Databricks, Apache Spark, Delta Lake, and MLflow.
• Strong programming skills in Python, SQL, and PySpark.
• Experience with SAP data extraction and integration (e.g., SAP BW, S/4HANA, BODS).
• Hands-on experience with cloud platforms (Azure, AWS, or GCP), especially in cost optimization and data lakehouse architectures.
• Solid understanding of data modeling, ETL/ELT pipelines, and data warehousing.
• Demonstrated team leadership and project management capabilities.
• Excellent communication, problem solving and stakeholder management skills.
• Experience in the manufacturing domain, with knowledge of production, supply chain, and quality data.
• Certifications in Databricks, cloud platforms, or data architecture.
• Familiarity with CI/CD pipelines, DevOps practices, and infrastructure as code (e.g., Terraform).

Physical Demands

• This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc.
• Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor.

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to or – 8111.