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

The shape of it

In the posting’s own words

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.

What it asks for · 11

• 5+ years of experience in a technical role with deep expertise across:
• Data & Software Engineering: Deep hands-on experience with Apache Spark™ ecosystem (Spark Core, Spark SQL, Spark Streaming), message queues (e.g., 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.
• [Preferred] Prior experience in a pre-sales or post-sales technical consulting role.
• 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.

What the job covers

• Guide Strategic Implementations : Provide technical leadership to help enterprise customers successfully build, scale, and optimize big data and large-scale data warehousing workloads.
• Prove Platform Value : Architect production-ready pipelines and demonstrate the power of the Databricks Data Intelligence Platform through end-to-end performance testing, load testing, and optimization.
• Deep Domain Expertise : Build expertise across specialized domains such as data lake architecture, high-velocity streaming, automated ingestion workflows, and data observability.
• Support Technical Sales : Partner with Solutions Architects on complex pre-sales engagements, including custom proofs of concept (POCs), workload sizing estimations, and custom architecture designs.
• Community & Adoption : Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community.

Degree language

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.

Tools and skills named

Words the posting leans on

• data14×
• experience8×
• technical8×
• engineering7×
• deep5×
• platform5×
• spark5×
• workloads5×
• architect4×
• architecture4×
• analytics3×
• data engineering3×
• e.g3×
• expertise3×
• ingestion3×
• sql3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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