Data Architect
Data Architect
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Job Description
Req number:
R5758Employment type:
Full timeWorksite flexibility:
RemoteWho we are
CAI is a global technology services firm with over 8500 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 rightwhatever 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 Youll 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 Youll 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.
- Bachelors 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 (888).
Employment Type
Full-Time
