Note: The job is a remote job and is open to candidates in USA. Databricks is a Data and AI company providing the Databricks Data Intelligence Platform. The Specialist Solutions Architect will guide strategic enterprise customers through cloud data engineering and warehousing transformations, architect production-ready pipelines, support technical sales engagements, and drive platform adoption through workshops and presentations.
Responsibilities
- 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
Skills
- 5+ years of experience in a technical role with deep expertise across:
- 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
- Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms
- Experience migrating EDW workloads (e.g., legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems; advanced query tuning, governance, and MPP debugging
- 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
- Willingness to travel up to 30% as needed
- Prior experience in a pre-sales or post-sales technical consulting role
Benefits
- This position can be remote.
- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks
Company Overview
Company H1B Sponsorship