Databricks
Solutions Architect - Telco
$180K–$248K
Atlanta, Georgia +1 · Remote · Full-time · Posted Oct 19, 2026
- Location
- Atlanta, Georgia
Remote - California - Experience
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
About the job
Leads customer technical strategy and adoption of Databricks, designing production-grade data, AI, and analytics solutions and advising technical stakeholders.
What you'll do
- Own account technical strategy from discovery through production deployment and consumption growth; lead architecture discussions.
- Build and demonstrate solutions to win competitive opportunities, and coordinate internal and partner teams to address complex customer needs.
- Develop a technical specialization, advise customers, and provide structured feedback to influence product direction.
What they ask for
- Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
- Deep expertise in distributed data systems, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native platforms.
- Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance; ability to lead architecture discussions with senior stakeholders.
- 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 base salary (Zone 1); $180,000 — $247,500 USD base salary (Zone 2); $180,000 — $247,500 USD base salary (Zone 3); $180,000 — $247,500 USD base salary (Zone 4)
Tools
Python, SQL, Databricks Platform, AWS, Azure, GCP, Snowflake, Azure Synapse
AI focus
Design solutions spanning ML/AI and position Databricks as the foundation of customers’ data and AI strategy.
Model-written summary · the original posting is authoritative