Senior Data Solutions

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
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Fitment

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Job Details

Skills

  • Senior Data Solutions
  • Apache Spark
  • Databricks
  • 5–10 years in data engineering or analytics solution delivery.
  • Databricks Mastery: 3+ years of hands-on expertise

Summary

Senior Data Solutions

Location: Remote

 

Job Description
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.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL327349
  • Position Id: 9101931
  • Posted 2 hours ago

Company Info

About Cyma Systems Inc

Cyma Systems is a technology solutions firm based in Connecticut serving mid-sized and Fortune 1000 businesses. We work with a range of corporate commercial clients as well as with the government sector. As a full-service consulting firm, we engage with our clients to share ideas on how we can help their businesses to become more profitable, to get a jump start on competitors by bringing products to market quickly, reducing costs, maximizing the use of existing technologies, driving more sales through the channel, and to bring additional value by forming a mutually beneficial partnership.

We think that the essence of a successful business is its ability to adapt and transform keeping ground realities in sight. At Cyma we work on leveraging the right synergies between technology and people that work towards transforming the outlook and results of your business.

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Amarnath Bandi

Amarnath Bandi

Cyma Systems Inc Recruiter @ Cyma Systems Inc
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