Solutions Architect- Public Sector (Federal Healthcare)
Lead the technical strategy for federal healthcare customers as a Solutions Architect at Databricks.
Posted by employer 4 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
What you'll build
- Own the end-to-end technical strategy for accounts
- Lead complex architecture discussions
- Serve as a trusted technical advisor
- Drive technical wins in competitive scenarios
- Orchestrate cross-functional resources
Must have
- 6+ years in solutions architecture or data engineering
- Strong coding proficiency in Python and SQL
- Deep expertise in distributed data systems architecture
- Experience with production deployments on public cloud
- Excellent communication skills
Nice to have
- Databricks certifications
- Experience with competitive platforms
- Background in a data/AI company or cloud provider
- Industry domain expertise in Healthcare
Requirements
- Experience
- 6+ years
- Education
- Bachelor's degree
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Solutions Architect at Databricks, the individual will lead the technical strategy for federal healthcare clients, guiding architecture discussions and driving platform adoption. Key skills include proficiency in Python and SQL, along with expertise in distributed data systems and cloud-native platforms. This position is ideal for someone with over six years of experience in solutions architecture or data engineering, particularly those who can effectively communicate complex technical concepts to diverse audiences. The role also offers the chance to influence product direction based on customer feedback and competitive insights.
Joblaze insights
- Listed today — first seen on Joblaze October 19, 2026. Last confirmed on Databricks's careers page October 19, 2026.
- Salary band is in line with the typical range for Data Engineering roles (median ~$180,656).
- Starts above 29% of 134 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 37 companies). See Python salary trends
- Python appears in 78.4% of 213 comparable senior data engineering roles in United States; Databricks appears in 6.6% of 213 comparable senior data engineering roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $180,000–$247,500 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Solutions Architect- Public Sector (Federal Healthcare) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Databricks, GCP, Python, SQL.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Architect- Public Sector (Federal Healthcare) role at Databricks.
From the original posting
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The Role
As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.
The Impact You Will Have
- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, 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, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
What We Look For
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.