> Markdown version of [/jobs/ext/2510189-specialist-solutions-architect-data-engineering-warehousing-digital-native-business](https://www.wearedevelopers.com/jobs/ext/2510189-specialist-solutions-architect-data-engineering-warehousing-digital-native-business). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Specialist Solutions Architect - Data Engineering & Warehousing (Digital Native Business) - **Company:** Databricks - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $248,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Information Systems, Data Warehousing, Software Debugging, Python (Programming Language), Load Testing, Online Analytical Processing, Online Transaction Processing, Performance Tuning, Query Optimization, DataOps, Security Information and Event Management, Software Engineering, SQL Databases, Performance Testing, Data Ingestion, Snowflake, Apache Spark, Electronic Medical Records, Data Lakes, Information Technology, Data Analytics, Apache Kafka, Spark Streaming, Video Streaming, Splunk, Azure Synapse Analytics, Amazon Redshift, Databricks - **Published:** August 9, 2026 - **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8694074002 ## About the Role * 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. * [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. ## Description Customer-facing technical leader guiding enterprise customers through cloud data engineering and lakehouse transformations. Architect and optimize large-scale ETL/streaming pipelines, perform performance and load testing, support pre-sales POCs and workload sizing, and drive adoption through workshops and community engagement. The summary above was generated by AI FEQ327R656 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. The impact you will have: * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)