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Specialist Solutions Architect - Data Engineering & Warehousing
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ICT
💰 Salary Not shared
📊 Market NA
About the Company
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops
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 - becoming a go-to resource for your team in that domain
- ● Orchestrate cross-functional resources to deliver comprehensive solutions for complex customer needs
- ● Influence product direction by providing structured feedback on customer requirements and competitive gaps
Requirements
- ● Have 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role
- ● Have deep hands-on experience with Apache Spark ecosystem, message queues, batch ingestion, performance tuning, and troubleshooting complex Spark workloads
- ● Have experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms
- ● Have experience migrating EDW workloads across OLAP/OLTP systems, advanced query tuning, governance, and MPP debugging
- ● Have strong coding proficiency in Python and SQL
- ● Have deep expertise in distributed data systems architecture, designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- ● Be proficient on the Databricks Platform or have demonstrated ability to achieve proficiency rapidly
- ● Have a developing technical specialization in one area, such as real-time/streaming, ML/AI, data governance, migrations
- ● Have proven ability to lead architecture discussions with senior technical stakeholders
- ● Have experience with production deployments on public cloud, including infrastructure
Benefits
- ● This position can be remote
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