Specialist Solutions Architect - Data Engineering & Warehousing (Digital Native Business) (Data Engineering)

Location: United States; remote work is available

Salary: $180,000–$247,500 USD annually, with potential annual performance bonus, equity, and regional benefits.

Company

Databricks provides a unified Data and AI Platform for building and scaling data and AI applications, analytics, and agents.

What you will do

• Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
• Lead complex architecture discussions and design scalable, production-grade solutions across data engineering and real-time analytics.
• Advise customer architects, engineering leads, and Directors on technical strategy and trade-offs.
• Demonstrate Databricks differentiation through custom-built solutions in competitive scenarios.
• Develop a technical specialization and coordinate DSAs, Solutions Architects, and partners on complex solutions.
• Provide structured customer and competitive feedback to influence product direction.

Requirements

• 6+ years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical role.
• Deep experience with Apache Spark, including Spark Core, Spark SQL, Spark Streaming, batch ingestion, performance tuning, and troubleshooting.
• Experience with data applications, predictive analytics pipelines, data warehouses, EDW migrations, query tuning, governance, and MPP debugging.
• Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
• Expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Experience deploying production systems on AWS, Azure, or GCP, plus a relevant bachelor's or master's degree or equivalent experience.

Nice to have

• Databricks certifications in data engineering, ML, or platform technologies.
• Experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider.
• Industry expertise in financial services, healthcare, retail, media, or a related domain.
• Experience with data observability, security, telemetry, anomaly detection, or SIEM tools.

Culture & Benefits

• Comprehensive benefits and perks tailored to the employee's region.
• Opportunity to work with a Data and AI Platform used by more than 20,000 organizations worldwide.
• Willingness to travel up to 30% as needed.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.