Solutions Architect - Public Sector (DoW - 4th Estate)

What you'll do

• Own account technical strategy from discovery through production deployment and adoption growth.
• Design and present scalable solutions across data engineering, ML/AI, and real-time analytics; advise senior customer technical stakeholders.
• Coordinate internal and partner teams, develop a technical specialization, and provide customer feedback to influence product direction.

What they ask for

• 7+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong Python and SQL coding proficiency, including live coding, debugging, and solution building.
• Expertise in distributed data systems and experience with public-cloud production deployments, including infrastructure, security, and governance.
• 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 such as Snowflake, AWS native services, or Azure Synapse.

Pay

$180,000 — $247,500 USD (total pay range for a commissionable role or expected salary range for a non-commissionable role; role-specific type not stated)

Tools

Python, SQL, Databricks Platform, AWS, Azure, GCP, Snowflake, Azure Synapse

AI focus

Designs production solutions spanning ML/AI and supports customers' data and AI strategies; may specialize in ML/AI.