Koantek Logo

Koantek

Senior Solution Architect- Spark & Databricks Expert

Reposted One Month Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead customer engagements to architect, implement, and optimize large-scale Spark and Databricks workloads. Troubleshoot and tune distributed PySpark and DBSQL jobs, design PoCs/workshops, advocate technical solutions, mentor junior engineers, and collaborate cross-functionally to improve platform features and cost-efficiency.
The summary above was generated by AI

Role: Senior Solution Architect– 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.



Similar Jobs

23 Minutes Ago
Remote or Hybrid
US
175K-175K Annually
Expert/Leader
175K-175K Annually
Expert/Leader
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead the architecture, development, and scaling of data pipelines and infrastructure for a customer-facing Data Lake platform. Build ETL and ingestion systems using GCP, Debezium, Pub/Sub, Dataflow, BigQuery, Python, Golang, and SQL. Establish engineering standards, deliver strategic projects, mentor engineers, influence cross-functional technical decisions, optimize data services, and shape the platform roadmap.
Top Skills: BigQueryCi/CdConfluenceDataflowDebeziumGoGoogle Cloud Platform (Gcp)JIRAPub/SubPythonRest ApisScrumSQL
An Hour Ago
Remote or Hybrid
128K-189K Annually
Entry level
128K-189K Annually
Entry level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop Python software and data systems that capture, validate, process, monitor, and deliver autonomous-vehicle telemetry from fleets to cloud and AI development pipelines. Own reliability initiatives, define architectures and operational metrics, debug distributed cloud and backend issues, improve observability and data quality, and apply AI/LLMs to incident triage and root-cause analysis. Collaborate across engineering and operations teams, lead design reviews, deliver tested production solutions, and mentor engineers.
Top Skills: APIsAutomated TestingBackend ServicesBigQueryC++CiCloud StorageContainer OrchestrationData PipelinesDistributed SystemsGCPKubernetesLlmsMetricsMonitoringPythonSQLTelemetry Pipelines
An Hour Ago
Remote or Hybrid
United States
69K-107K Annually
Expert/Leader
69K-107K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Provides on-site automotive technical support to GM dealerships and wholesale teams. Diagnoses vehicle and Techline issues, resolves escalated cases, supports repair and repurchase prevention, reviews dealership service readiness, trains personnel, troubleshoots IT and diagnostic tools, and reports product concerns to GM engineering and quality teams. The role manages territory relationships, supports arbitration and legal cases, and requires frequent travel, extensive automotive diagnostic experience, and strong customer and technical communication skills.
Top Skills: Buffalo ToolController Area Networks (Can)Gm Essential Service ToolsGm Global Connect Service ApplicationsGm LanGm Service Training CollegeInca ToolLan/WanMS OfficeNeoviPicoscopeTis/GdsV-Spy Intrepid Tools

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account