Resident Solutions Architect – MLOps
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Job Description
Senior Data Solutions Consultant focusing on Apache Spark and Databricks for customer engagements. Responsible for technical leadership and innovative solution delivery in a remote role.
Responsibilities:
- Lead engagements from discovery to delivery with full ownership and accountability.
- Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency.
- Apply expert-level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads.
- Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence.
- Act as a technical advocate for customers, anticipating issues and applying creative, data-driven solutions.
- Collaborate with product and engineering teams to improve customer experience and platform features.
- Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers.
Requirements:
- 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.
- Certifications: Databricks Certified Data Engineer Professional preferred.
- Advanced Skills: Experience with Delta Live Tables (DLT) and Unity Catalog (UC) preferred.
- Consulting Background: Experience in large-scale data migration or AI-assisted analytics in enterprise environments preferred.
Benefits:
- Remote work
- Health insurance
- Professional development
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