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NEXTMOVEFDE careers · United States

Resident Solution Architect (Databricks)

AI summary of the role

This is a hands-on Resident Solutions Architect role at Capgemini Engineering, focused on leading enterprise data and analytics initiatives on Databricks and cloud-native technologies.

What you’ll do

  • Lead 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

What you’ll bring

  • 7+ years of experience in data engineering, data platforms, and analytics
  • Completed Databricks Data Engineering Professional certification
  • Proven experience delivering 6-8+ successful projects with significant hands-on Databricks development
  • Strong experience with Apache Spark including runtime internals and performance optimization

Technologies

Databricks · Apache Spark · AWS · Azure · GCP · CI/CD · MLOps · DevOps · cloud-native

Source and classification

Internal deployment & tooling · Evidence for this classification:

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you're considering As a Resident Solutions Architect, you will serve as a trusted technical advisor and hands-on leader for enterprise data and analytics initiatives. You will partner with client stakeholders and delivery teams to design, optimize, and scale modern data platforms leveraging Databricks and cloud-native technologies. This role combines deep technical expertise
More from the job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you're considering As a Resident Solutions Architect, you will serve as a trusted technical advisor and hands-on leader for enterprise data and analytics initiatives. You will partner with client stakeholders and delivery teams to design, optimize, and scale modern data platforms leveraging Databricks and cloud-native technologies. This role combines deep technical expertise with consulting and architecture leadership to drive successful business outcomes. Location Remote Your role 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 optimiza [... source excerpt omitted ...] ng 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. The base compensation range for this role in the posted location is: $73,150 - $174,000 Capgemini provides compensation range information in accordance with applicable national, state, prov [... source excerpt omitted ...] e and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to a

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