Sr. Solutions Architect - Teleco
Databricks2 months 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 builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.