[Hiring] Databricks Architect @Computer Task Group, Inc

Role Description

CTG is seeking to fill a Databricks Architect position for our client.

Location: Remote

Duration: 12 months

Duties:

• Design, develop, and implement scalable data and analytics platforms using Databricks and modern cloud technologies
• Provide technical leadership in architecting end-to-end data solutions supporting data engineering, analytics, AI/ML, and business intelligence use cases
• Translate business and IT requirements into modern data architecture components using established modernization frameworks
• Lead the design and optimization of distributed data processing solutions leveraging Apache Spark and Delta Lake
• Collaborate with data engineers, data scientists, platform engineers, and business stakeholders to deliver secure, reliable, and high-performance solutions
• Define and enforce best practices for data integration, ETL/ELT pipelines, orchestration, and data modeling
• Ensure robust implementation of data security, governance, access control, and compliance within cloud environments
• Perform performance tuning, cluster configuration optimization, and cost management across Databricks environments
• Support DevOps and CI/CD implementation for data platforms and analytics workloads
• Contribute to modernization initiatives including legacy system analysis, code restructuring, refactoring, and business logic extraction into reusable components
• Enable integration of legacy and modern systems using cloud-native services and APIs for reuse by systems of engagement
• Reuse and enhance digital modernization assets, methods, and collateral
• Work with cloud-native services such as AWS ECS, AWS Lambda, ElasticCache, and S3 as applicable

Qualifications

• Strong experience designing and implementing data platforms using Databricks
• MUST have familiarity with AI and Machine Learning
• Deep knowledge of Apache Spark, Delta Lake, and distributed data processing concepts
• Proficiency in Python, Scala, or SQL for data engineering and analytics
• Experience with cloud platforms such as Azure (ADF, ADLS), AWS (S3, Glue), or GCP (GCS, BigQuery)
• Hands-on experience with data integration, ETL/ELT frameworks, and orchestration tools
• Strong understanding of data security, governance, and access control in cloud environments
• Experience with performance tuning, cluster configuration, and cost optimization
• Familiarity with DevOps and CI/CD practices for data platforms
• Ability to communicate complex technical concepts to non-technical stakeholders
• Experience with legacy modernization, code refactoring, and integration of legacy systems

Requirements

• 8+ years of experience in data engineering, data architecture, or analytics engineering roles
• 3+ years of hands-on experience with Databricks in production environments
• Proven experience architecting cloud-based data platforms at scale
• Demonstrated experience working on AI/ML-enabled data solutions is required
• Experience leading technical teams or acting as a lead architect in enterprise environments

Education

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

To Apply

To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Laura Dominguez at [email protected] . Kindly forward this to any other interested parties. Thank you!

The expected base salary for this position ranges from $80.00 to $85.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.