Specialist Solutions Architect - Data Engineering & Warehousing
New
D
Databricks, Inc.Data and AI
United StatesFull-TimeSenior
Salary$180,000 — $247,500 USD
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Job Details
- Experience
- 6+ years
- Required Skills
- AWSPythonSQLGCPKafkaAzureData engineeringSpark
Requirements
- 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role
- Deep hands-on experience with Apache Spark ecosystem (Spark Core, Spark SQL, Spark Streaming), message queues (e.g., Kafka), batch ingestion, performance tuning
- 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
- Strong coding proficiency in Python and SQL with ability to demonstrate live coding and debugging
- Deep expertise in distributed data systems architecture (lakehouse patterns, streaming architectures)
- Experience with production deployments on public cloud (AWS, Azure, or GCP)
- Proven ability to lead architecture discussions with senior technical stakeholders
- Willingness to travel up to 30% as needed
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Responsibilities
- Own the end-to-end technical strategy for your accounts, from discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
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