Senior Technical Solutions Engineer, Platform

P-343 - This role is hybrid with 3 days in our Plano office. As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. The impact you will have: Troubleshoot and resolve complex customer issues related to Databricks platform Provide best practices support for custom-built solutions developed by Databricks customers Deliver suggestions for improving performance in customer-specific environments Assist with issues around third-party integrations with Databricks environment Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests Participate in the creation and maintenance of company documentation and knowledge articles Be a true proponent of customer advocacy Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs Participate in weekend and weekday on call rotation What we look for: 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired . Strong experience with SQL-based database is required. Linux/Unix administration skills. Hands-on experience with AWS, Azure or GCP. Candidate must possess excellent English written and oral communication skills. Experience with "Distributed Big Data Computing" environment. Technical degree or the equivalent experience. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $87,100 — $154,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

{
  "content_hash": "93af68cef5b14878daa865b01aa5577c5601854b53d1727669000cd31151b9c9",
  "source_hash": "6a6ec510e60f6030fa65dd617d2e75a10ff4b76a36c1829b59025414267e6f0a",
  "last_changed_at": "2026-06-06T07:35:41.898Z",
  "active_status": "deleted"
}

{
  "language": "en",
  "location": {
    "raw": "Dallas, Texas",
    "city": "Dallas",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.85
  },
  "salary_max": 154000,
  "salary_min": 87100,
  "inferred_at": "2026-06-03T12:06:30.763Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Dallas, Texas",
      "city": "Dallas",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "title": "Senior Technical Solutions Engineer, Platform",
  "offices": [
    {
      "id": 4000645002,
      "name": "Dallas, Texas",
      "location": "Dallas, Texas",
      "child_ids": [],
      "parent_id": 4033550002
    }
  ],
  "language": "en",
  "location": {
    "name": "Dallas, Texas"
  },
  "metadata": [
    {
      "id": 9740521002,
      "name": "Company Assignment",
      "value": "Databricks India Private Limited",
      "value_type": "single_select"
    },
    {
      "id": 24059030002,
      "name": "Career Page Posting Category",
      "value": [
        "Customer Success"
      ],
      "value_type": "multi_select"
    }
  ],
  "updated_at": "2026-04-09T16:51:06-04:00",
  "departments": [
    {
      "id": 4003101002,
      "name": "Support",
      "child_ids": [],
      "parent_id": 4001015002
    }
  ],
  "company_name": "Databricks",
  "requisition_id": 5355756002,
  "first_published": "2025-03-10T12:14:20-04:00",
  "application_deadline": null
}