Specialist Solutions Architect - Data Engineering & Warehousing (Digital Native Business)

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

Guide strategic enterprise customers through cloud data engineering transformations, advising on lakehouse architectures and large-scale data warehousing workloads. Architect production-ready data pipelines, run end-to-end performance/load testing, and optimize for Databricks’ Data Intelligence Platform. Support complex pre-sales engagements with proofs of concept, sizing, and custom designs, while building domain expertise in streaming, ingestion automation, observability, and security. Lead workshops and mentor teams, with occasional travel.

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FursaFursa
Databricks
Databricks
1 day ago

Specialist Solutions Architect - Data Engineering & Warehousing (Digital Native Business)

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Last checked: 6 hours agoStatus: Live
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Job Summary

Guide strategic enterprise customers through cloud data engineering transformations, advising on lakehouse architectures and large-scale data warehousing workloads. Architect production-ready data pipelines, run end-to-end performance/load testing, and optimize for Databricks’ Data Intelligence Platform. Support complex pre-sales engagements with proofs of concept, sizing, and custom designs, while building domain expertise in streaming, ingestion automation, observability, and security. Lead workshops and mentor teams, with occasional travel.
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 Data Intelligence Platform value through end-to-end performance testing, load testing, and optimization.
  • •Develop deep expertise in 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 through workshops, hackathons, and conference presentations, contributing to the broader Databricks community.
Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

Key Requirements

  • •5+ years in a technical role with deep expertise in the Apache Spark ecosystem (Spark Core/SQL/Streaming), Kafka/message queues, batch ingestion, and performance tuning/troubleshooting.
  • •Experience building or supporting data applications like predictive analytics pipelines or customer analytics platforms.
  • •Hands-on experience migrating EDW workloads (e.g., Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems, including query tuning, governance, and MPP debugging.
  • •Knowledge of lakehouse architecture (Delta Lake, data modeling, BI integration) across AWS, Azure, or GCP, plus production-level SQL and at least one of Python, Scala, or Java.
  • •Familiarity with data observability and security (telemetry, high-velocity log ingestion, anomaly detection, and SIEM tools like Splunk/Elastic/Sentinel) and ability to meet training milestones within 6 months.
Experience:5+ years
Education:Bachelor's
Skills:Technical leadershipMentorshipContinuous learningWorkshop facilitationTroubleshooting
Languages:English
Tech Stack:Apache SparkSpark CoreSpark SQLSpark StreamingKafkaRedshiftSnowflakeSynapseEMRDelta LakeSQLPythonScalaJavaAWSAzureGCPSplunkElasticSentinel

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