Sr. Solutions Architect - Teleco
Databricks1 hour ago
Base Salary
$219k - $301k/yr
Responsibilities
- Drive technical and consumption strategy for complex customer engagements.
- Own senior-level technical relationships and advise executives on enterprise data and AI strategy.
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Serve as a Databricks Platform expert with a declared technical specialization and provide horizontal technical impact.
- Develop competitive strategies and position Databricks against incumbent and emerging platforms.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Coach and develop junior Solutions Architects at levels L3–L5.
- Create customer-facing content, workshops, and community engagement for Field Engineering thought leadership.
Requirements
- 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert-level coding proficiency in Python and SQL; Spark or PySpark is preferred, with a live coding assessment and platform build during the interview.
- Deep expertise in enterprise data architecture, distributed systems at scale, streaming and real-time systems, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
- Expert-level Databricks Platform knowledge or equivalent depth in competing platforms with demonstrated ability to learn quickly.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Proven success driving consumption growth and platform adoption in large accounts.
- Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
- Experience leading competitive displacements and complex enterprise evaluations.
- Strong strategic thinking connecting architecture decisions to business outcomes and revenue impact.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Databricks certifications, prior experience at Databricks, Snowflake, AWS, Google, or Microsoft, published thought leadership, and industry vertical expertise are preferred.
Benefits
- Comprehensive benefits and perks are offered, with specific details varying by region.
- Interview process: recruiter screen, hiring manager screen, design and architecture interview, live coding assessment, build/demo/pitch presentation, and reference check.
Tech Stack
Categories
Solutions Engineering
About Databricks
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).