Specialist Solutions Architect - Data Engineering & Warehousing

New

Databricks, Inc.Data & AI

Location: United StatesFull-TimeSenior

Salary$180,000 — $247,500 USD

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Job Details

5+ years of experience in a technical role with deep expertise in data and software engineering.
Hands-on experience with Apache Spark (Core, SQL, Streaming), message queues (e.g., Kafka), and batch ingestion.
Experience building or supporting data-driven use cases, predictive analytics, or customer analytics platforms.
Experience migrating EDW workloads (e.g., Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems.
Familiarity with data observability, telemetry, and SIEM tools (e.g., Splunk, Elastic, Sentinel).
Deep understanding of modern lakehouse architectures (Delta Lake, data modeling) across AWS, Azure, or GCP.
Production-level programming experience in SQL and at least one of: 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.
Willingness to travel up to 30% as needed.

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 the Databricks Data Intelligence Platform through testing and performance optimization.
Build domain expertise in areas such as data lake architecture, high-velocity streaming, automated ingestion, and data observability.
Partner with Solutions Architects on complex pre-sales engagements, including custom proofs of concept, workload sizing, and design.
Enable platform adoption by leading workshops, hackathons, and conference presentations.

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