11 days ago
Base Salary
$73k - $174k/yr
Responsibilities
- 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 on CI/CD, DevOps, and MLOps best practices.
- Mentor technical teams on distributed computing, Spark architecture, and modern data platform design.
- Evaluate Databricks and cloud capabilities and recommend adoption strategies aligned with business goals.
Requirements
- Require 7+ years of experience in data engineering, data platforms, and analytics.
- Require a completed Databricks Data Engineering Professional certification and required training curriculum.
- Require proven delivery of 6-8+ successful projects with significant hands-on Databricks development expertise.
- Require strong Apache Spark distributed-computing experience, including Spark runtime internals and performance optimization.
- Require 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.
- Require familiarity with CI/CD pipelines, production deployment practices, and cloud-native development methodologies.
- Require working knowledge of MLOps frameworks, machine learning lifecycle management, and model deployment processes.
- Require current knowledge of Databricks products, platform capabilities, and practices for scalability, reliability, and governance.
Benefits
- Remote work arrangement.
- Regular full-time employees may receive paid time off, including 12-25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
- Benefits may include medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Benefits may include retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Benefits may include life and disability insurance and employee assistance programs.
Tech Stack
Categories
Solutions Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.