Lead Technical Solutions Engineer, Platform

2 weeks ago


San Francisco, California, United States Databricks Full time

Position Overview:

As a Lead Technical Solutions Engineer, you will play a crucial role in delivering technical assistance for issues related to the Databricks Platform. Your expertise will help customers navigate their journey with Databricks, ensuring they derive maximum value and meet their strategic objectives through our innovative products. You will be the go-to resource for a wide range of inquiries, from fundamental technical questions to intricate architectural challenges across the Big Data landscape. This position is hybrid in nature.

Key Responsibilities:

  • Troubleshoot and resolve intricate customer challenges associated with the Databricks platform.
  • Provide guidance on best practices for custom solutions developed by our clients.
  • Offer recommendations for enhancing performance in client-specific environments.
  • Assist with integration issues involving third-party services within the Databricks ecosystem.
  • Collaborate with engineering and escalation teams to ensure effective resolution of customer inquiries.
  • Contribute to the development and upkeep of company documentation and knowledge resources.
  • Act as a strong advocate for customer needs.
  • Enhance your expertise in AWS/Azure and the Databricks platform through ongoing training and learning opportunities.
  • Participate in on-call rotations during weekends and weekdays.
Qualifications:
  • A minimum of 3 years' experience in designing, building, testing, and maintaining applications using Python/Java/Scala, with a strong emphasis on Python.
  • Proficient in SQL-based database management.
  • Experience with Linux/Unix system administration.
  • At least 2 years of experience with Hadoop/Spark in a development, administrative, or support capacity.
  • Hands-on experience with cloud platforms such as AWS or Azure.
  • Exceptional written and verbal communication skills in English.
  • Familiarity with distributed big data computing environments.
  • A technical degree or equivalent professional experience.
U.S. Citizenship Requirement:

This position is open exclusively to U.S. citizens to comply with federal regulations regarding information security and contractor requirements.

Benefits:
  • Comprehensive Medical, Dental, and Vision coverage.
  • 401(k) retirement plan.
  • Flexible Spending Account (FSA), Health Savings Account (HSA), and Commuter Benefit Plans.
  • Equity Awards.
  • Flexible Time Off policy.
  • Paid Parental Leave.
  • Family Planning support.
  • Fitness Reimbursement programs.
  • Annual Career Development Fund.
  • Reimbursement for Home Office/Work Headphones.
  • Employee Assistance Program (EAP).
  • Business Travel Accident Insurance.
  • Mental Wellness Resources.
Compensation Transparency:

Databricks is dedicated to equitable compensation practices. The salary range for this role is $102,400-$181,200 USD, reflecting base salary for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation will depend on various factors unique to each candidate, including job-related skills, experience, certifications, and work location. The total compensation package may also include eligibility for annual performance bonuses, equity, and the benefits listed above.

About Databricks:

Databricks is a leader in data and AI solutions, serving over 10,000 organizations globally, including many Fortune 500 companies. We are headquartered in San Francisco and are the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. For more information, follow Databricks on social media.

Diversity and Inclusion Commitment:

At Databricks, we prioritize creating a diverse and inclusive workplace where all individuals can thrive. We are committed to equitable hiring practices and consider candidates without regard to various protected characteristics.

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