Resident Solutions Architect – Spark & Databricks Expert

Role 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 Responsibilities

• 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 Qualifications

• 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 Qualifications

• 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.