Resident Solution Architect – Databricks
Posted 2hrs ago
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Job Description
Resident Solution Architect designing scalable Databricks data platforms for Capgemini Engineering. Advising clients on cloud architecture, optimization, CI/CD, DevOps, and MLOps.
Responsibilities:
- Serve as a trusted technical advisor and hands-on leader for enterprise data and analytics initiatives
- Lead the design and implementation of scalable data engineering and analytics solutions on Databricks
- Partner with client and delivery teams to define architecture standards, best practices, and technical roadmaps
- Provide hands-on guidance for data platform development, optimization, and production deployments
- Drive performance tuning, scalability improvements, and cost optimization across cloud and Databricks environments
- Collaborate with engineering teams to establish CI/CD, DevOps, and MLOps best practices
- Mentor technical teams on distributed computing, Spark architecture, and modern data platform design
- Evaluate emerging Databricks and cloud capabilities and recommend adoption strategies aligned with business goals
Requirements:
- 7+ years of experience in data engineering, data platforms, and analytics
- Completed Databricks Data Engineering Professional certification and required training curriculum
- Proven experience delivering 6–8+ successful projects with significant hands-on Databricks development expertise
- Strong experience with distributed computing using Apache Spark, including Spark runtime internals and performance optimization techniques
- Experience designing and deploying solutions across cloud platforms, with deep expertise in AWS, Azure, or GCP and working knowledge of at least one additional cloud ecosystem
- Familiarity with CI/CD pipelines, production deployment practices, and cloud-native development methodologies
- Working knowledge of MLOps frameworks, machine learning lifecycle management, and model deployment processes
- Current knowledge of Databricks products, platform capabilities, and best practices for scalability, reliability, and governance
Benefits:
- Paid time off: Vacation (12–25 days depending on grade), company-paid holidays, personal days, and sick leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (401(k) in the U.S.; RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
- Potential eligibility for variable incentives, bonuses, or commissions


















