TekValue IT Solutions

Senior Resident Solutions Architect (RSA)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Resident Solutions Architect (RSA) with 5–10+ years in Data Engineering and 3+ years in Databricks. It is a remote, full-time position for over 6 months, requiring expertise in Apache Spark, cloud platforms, and strong communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 2, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Engineering #Spark (Apache Spark) #SQL (Structured Query Language) #Azure #Migration #Apache Spark #Delta Lake #Databricks #AI (Artificial Intelligence) #Cloud #AWS (Amazon Web Services) #Debugging #Data Processing #GCP (Google Cloud Platform) #Consulting
Role description
Position: Senior Resident Solutions Architect (RSA) Location: Remote - United States Employment Type: Full-Time Skills Required: • 5–10+ years of experience in Data Engineering, Analytics, or Data Solutions Consulting • 3+ years of hands-on experience with Databricks, including workload optimization, debugging, and governance • Strong expertise in Apache Spark, Spark Internals, Py Spark, and Databricks SQL (DBSQL) • Experience architecting and optimizing large-scale data processing workloads • Strong knowledge of Delta Lake, Lakehouse Architecture, and Structured Streaming • Experience with cloud platforms such as AWS, Azure, or GCP • Ability to lead customer engagements from discovery through delivery with minimal oversight • Experience conducting technical workshops, solution design sessions, and Proof of Concepts (PoCs) • Strong customer-facing communication and stakeholder management skills • Experience mentoring engineers and promoting best practices in data engineering Preferred Qualifications: • Databricks Certified Data Engineer Professional certification • Experience with Delta Live Tables (DLT) and Unity Catalog (UC) • Background in enterprise data modernization and migration initiatives • Experience with AI-assisted analytics, MLOps, or modern AI-driven data platforms • Consulting, Professional Services, or Solutions Architecture experience preferred Key Responsibilities: • Lead customer engagements with full ownership and accountability • Architect, implement, and optimize Spark and Databricks solutions for performance and cost efficiency • Troubleshoot and tune distributed data workloads and SQL performance issues • Design and deliver workshops and Proof of Concepts (PoCs) • Act as a trusted technical advisor to customers and business stakeholders • Collaborate with product and engineering teams to improve customer outcomes • Mentor team members and drive adoption of data engineering best practices