Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Solutions Architect - Databricks
XX
Remote Resident Solutions Architect - Spark & Databricks ExpertgrabjobsUnited States
XX

Remote Resident Solutions Architect - Spark & Databricks Expert

grabjobs
  • US
    United States
  • US
    United States

Über

Role:
Senior Resident Solutions Architect (RSA) – Spark Expert Experience:
5 – 10+ Years Location:
Remote Employment Type:
Full -time 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.
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.