Resident Solution Architect – Databricks

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $73.2k - $174k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• 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