Specialist Solutions Architect

Overview

Feq327r358 - Specialist Solutions Architect (SSA) - Data Engineering and Warehousing. In this customer-facing role, you will guide customers through cloud data engineering transformations across a wide variety of use cases and collaborate with Solutions Architects. This role requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture, helping customers evaluate and plan production for BI workloads while aligning technical roadmaps with the Databricks Data Intelligence Platform. You will work under the Specialist Field Engineering Manager to strengthen technical skills through mentorship, continuous learning, and internal training programs, establishing yourself as a leader in data engineering and warehousing.

Responsibilities

• Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
• Demonstrate the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.
• Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization.
• Become a technical expert in areas such as data lake technology, big data streaming, or big data ingestion and workflows.
• Assist Solution Architects with advanced aspects of the technical sale, including custom proof of concept content, workload sizing estimates, and custom architectures.
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations).
• Contribute to the Databricks Community.

Qualifications

• 8+ years of experience in a technical role with deep expertise across:
• Software / Data Engineering: hands-on data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions.
• Data Applications Engineering: experience building data-driven use cases (e.g., risk modeling, fraud detection, customer lifetime value).
• Data Warehousing: advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions; experience migrating workloads from EDW systems across OLAP & OLTP workloads.
• Data Observability: experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection.
• Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs.
• Deep expertise across multiple core data engineering domains, including:
• Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments.
• Building and migrating large-scale data pipelines, including batch, CDC, and streaming ingestion.
• Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP).
• Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration.
• Production programming experience in SQL and at least one of Python, Scala, or Java.
• Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
• 3+ years of customer-facing experience in a pre-sales or post-sales technical role.
• Ability to meet expectations for technical training and role-specific milestones within 6 months of hire.
• Willingness to travel up to 30% as needed.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

Databricks strives to provide comprehensive benefits and perks. For specific details on benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.