Resident Solutions Architect - Spark & Databricks Expert
Indexed description
This is a remote position.
Role: Senior Resident Solutions Architect (RSA) – Spark Expert
Experience: 5 – 10+ Years Location: RemoteEmployment Type: Full-timeRole Overview
We are seeking a Senior Data Solutions Consultant with deep expertise in Apache Spark and Databricks. This role requires a decisive, agentic-forward approach to problem-solving. You will independently lead complex customer engagements, bridging hands-on data engineering excellence with strategic technical leadership. As a trusted advisor, you will proactively build and implement solutions that unlock significant value for our customers.
Key ResponsibilitiesCustomer Leadership: Lead engagements from discovery to delivery with full ownership and accountability.
Architecture & Optimization: Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency.
Spark Expertise: Apply expert-level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads.
Proactive Delivery: Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence.
Strategic Advocacy: Act as a technical advocate for customers, anticipating issues and applying creative, data-driven solutions.
Cross-functional Partnership: Collaborate with product and engineering teams to improve customer experience and platform features.
Mentorship: Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers.
Customer Leadership: Lead engagements from discovery to delivery with full ownership and accountability.
Architecture & Optimization: Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency.
Spark Expertise: Apply expert-level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads.
Proactive Delivery: Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence.
Strategic Advocacy: Act as a technical advocate for customers, anticipating issues and applying creative, data-driven solutions.
Cross-functional Partnership: Collaborate with product and engineering teams to improve customer experience and platform features.
Mentorship: Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers.
Required QualificationsExperience: 5–10 years in data engineering or analytics solution delivery.
Databricks Mastery: 3+ years of hands-on expertise, including job optimization, debugging, and workload governance.
Technical Depth: Deep understanding of Spark Internals, PySpark, and Databricks SQL (DBSQL) performance tuning.
Modern Lakehouse: Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure.
Autonomy: Proven ability to identify and solve complex technical problems with minimal oversight.
Communication: Exceptional skills to simplify technical complexity for business leaders.
Experience: 5–10 years in data engineering or analytics solution delivery.
Databricks Mastery: 3+ years of hands-on expertise, including job optimization, debugging, and workload governance.
Technical Depth: Deep understanding of Spark Internals, PySpark, and Databricks SQL (DBSQL) performance tuning.
Modern Lakehouse: Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure.
Autonomy: Proven ability to identify and solve complex technical problems with minimal oversight.
Communication: Exceptional skills to simplify technical complexity for business leaders.
Preferred QualificationsCertifications: Databricks Certified Data Engineer Professional.
Advanced Skills: Experience with Delta Live Tables (DLT) and Unity Catalog (UC).
Consulting Background: Experience in large-scale data migration or AI-assisted analytics in enterprise environments.
Certifications: Databricks Certified Data Engineer Professional.
Advanced Skills: Experience with Delta Live Tables (DLT) and Unity Catalog (UC).
Consulting Background: Experience in large-scale data migration or AI-assisted analytics in enterprise environments.
Originally posted on Himalayas
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