Specialist Solutions Architect - Data Engineering & Warehousing (Financial Services)

Databricks
Texas
Workplace: RemoteFull timeUSD 180,000 - 247,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Technical leadership","Mentorship","Troubleshooting","Workload optimization","Workshop facilitation"]

Guide strategic enterprise customers through cloud data engineering transformations for big data and large-scale data warehousing. Architect production-ready data pipelines on the Databricks Data Intelligence Platform, including performance testing, load testing, optimization, and workload sizing. Serve as a deep domain expert across lakehouse architectures, streaming, ingestion, observability, governance, and security, while partnering on complex pre-sales engagements and enabling adoption through workshops, hackathons, and conference presentations.

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Databricks
Databricks
1 day ago

Specialist Solutions Architect - Data Engineering & Warehousing (Financial Services)

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Last checked: 5 hours agoStatus: Live

Job Summary

Guide strategic enterprise customers through cloud data engineering transformations for big data and large-scale data warehousing. Architect production-ready data pipelines on the Databricks Data Intelligence Platform, including performance testing, load testing, optimization, and workload sizing. Serve as a deep domain expert across lakehouse architectures, streaming, ingestion, observability, governance, and security, while partnering on complex pre-sales engagements and enabling adoption through workshops, hackathons, and conference presentations.
Location: Texas
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Provide technical leadership to help enterprise customers build, scale, and optimize big data and large-scale data warehousing workloads.
  • •Architect production-ready pipelines and demonstrate Databricks platform value through end-to-end performance testing, load testing, and optimization.
  • •Develop deep domain expertise across data lake architecture, high-velocity streaming, automated ingestion workflows, and data observability.
  • •Partner with Solutions Architects on complex pre-sales engagements, including custom proofs of concept, workload sizing estimations, and custom architecture designs.
  • •Enable adoption by leading workshops, hackathons, and conference presentations while contributing to the Databricks community.
Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of experience in a technical role with deep expertise in streaming and batch ingestion, performance tuning, and troubleshooting complex Spark workloads.
  • •Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms.
  • •Experience migrating EDW workloads (e.g., legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems, including query tuning, governance, and MPP debugging.
  • •Strong understanding of lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP).
  • •Production-level programming in SQL and at least one language among Python, Scala, or Java; familiarity with data observability/security tools (e.g., Splunk, Elastic, Sentinel).
Experience:5+ yearsFinancial servicesData engineeringLakehouseCloud data warehousing
Education:Bachelor's
Skills:Technical leadershipMentorshipTroubleshootingWorkload optimizationWorkshop facilitation
Languages:English
Tech Stack:Spark StreamingKafkaSparkSQLPythonScalaJavaRedshiftSnowflakeSynapseEMRDelta LakeUnity CatalogAWSAzureGCPSplunkElasticSentinel

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn