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

Databricks • United States, TX

1d • $180,000 - $247,500 • Remote

About The Position

As a Specialist Solutions Architect (SSA) – Data Engineering & Warehousing, you will guide strategic enterprise customers through cloud data engineering transformations across a wide variety of mission-critical use cases. In this customer-facing role, you will collaborate with and support Solutions Architects by leveraging your hands-on production experience with large-scale data engineering and lakehouse architecture. You will help organizations navigate technical evaluations, optimize business intelligence and analytics workloads, and align their technical roadmaps with the Databricks Data Intelligence Platform. Reporting to the Specialist Field Engineering Manager, you will serve as a deep domain expert while continuing to strengthen your technical leadership through mentorship, continuous learning, and specialized training programs. This position can be remote.

Requirements

• 5+ years of experience in a technical role with deep expertise across Data & Software Engineering: Hands-on experience with streaming technologies (e.g., Spark Streaming, Kafka), batch ingestion, performance tuning, and troubleshooting complex Spark workloads.
• Data Applications Engineering: Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms.
• Data Warehousing & Migration: Experience migrating EDW workloads (e.g., legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems; advanced query tuning, governance, and MPP debugging.
• Data Observability & Security: Telemetry, high-velocity log ingestion, anomaly detection, and familiarity with SIEM tools (e.g., Splunk, Elastic, Sentinel).
• Deep understanding of modern lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP).
• Production-level programming experience in SQL and at least one language among Python, Scala, or Java.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
• Ability to hit role-specific training and technical delivery milestones within the first 6 months.

Nice To Haves

• Prior experience in a pre-sales or post-sales technical consulting role.
• Willingness to travel up to 30% as needed.

Responsibilities

• Provide technical leadership to help enterprise customers successfully build, scale, and optimize big data and large-scale data warehousing workloads.
• Architect production-ready pipelines and demonstrate the power of the Databricks Data Intelligence Platform through end-to-end performance testing, load testing, and optimization.
• Build expertise across specialized domains such as 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 (POCs), workload sizing estimations, and custom architecture designs.
• Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community.

Benefits

• Eligibility for annual performance bonus
• Equity
• Comprehensive benefits and perks

What This Job Offers

• Job Type: Full-time
• Career Level: Senior