Solutions Architect - Global Telecommunications
Databricks2 months ago
Base Salary
$219k - $301k/yr
Responsibilities
- Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth.
- 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 an expert on the Databricks Platform through a declared technical specialization and provide horizontal impact across the team and region.
- Develop competitive strategies and lead competitive displacements and complex enterprise evaluations.
- Orchestrate DSAs, SSAs, partners, product teams, and other cross-functional groups to deliver enterprise solutions.
- Coach and develop junior Solutions Architects on technical depth, customer engagement, and use-case prioritization.
- Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.
- Travel to customers 30% of the time.
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, ideally including Spark/PySpark; candidates complete a live coding assessment and platform build during the interview.
- Deep expertise in enterprise data architecture, including 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 with competing platforms and demonstrated rapid learning ability.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Proven ability to drive consumption growth and platform adoption in large accounts.
- Executive presence and ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Databricks certifications, experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, published thought leadership, and telco industry expertise are preferred.
Benefits
- Benefits and perks are offered, with specific details varying by region.
- The role requires 30% travel to customers.
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.