Databricks Solution Architect

🔥 16 hours ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

💰 $2M Venture Round on 2015-01

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

📋 Description

• Lead the design and implementation of scalable, secure, and high-performance data architecture on Databricks • Define end-to-end data pipelines (ingestion, transformation, serving) using Spark and Delta Lake • Drive migration and modernization initiatives from legacy platforms to Databricks • Establish best practices for data engineering, performance optimization, and cost management • Design and implement data governance, security, and compliance frameworks • Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into technical solutions • Provide technical leadership, mentorship, and guidance to development teams • Ensure data quality, reconciliation, and reliability across data workflows • Integrate Databricks with enterprise tools (e.g., MuleSoft, Alteryx, BI/reporting platforms) • Stay current with Databricks innovations and recommend adoption of new capabilities (e.g., ML, AI, DBSQL, Unity Catalog)

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 9-12+ years of experience in data engineering, data architecture, or analytics platforms • Strong hands-on expertise with Databricks, Apache Spark, and Delta Lake • Experience with cloud platforms such as Azure (preferred), AWS, or GCP • Proven experience designing and implementing scalable data pipelines and architectures • Strong knowledge of SQL, Python, and/or Scala • Experience with data integration tools (e.g., MuleSoft, Alteryx) and modern data ecosystems • Familiarity with data governance, security frameworks, and compliance best practices • Experience with performance tuning, optimization, and cost management in Databricks • Strong problem-solving skills and ability to work in a cross-functional, collaborative environment • Excellent communication and stakeholder management skills • Exposure to AI/ML use cases, Databricks SQL, and Unity Catalog is a plus