Sr. Solutions Architect, Customer Lake
Databricks2 months ago
Base Salary
$219k - $301k/yr
Responsibilities
- Provide technical leadership for customer implementations spanning architectural design, data engineering, identity resolution, audience activation, and agent deployment.
- Design and execute customer engagement strategies with GTM leadership and account teams to drive Customer Lake adoption.
- Build technical credibility with CMOs, MarTech leaders, data engineering executives, and marketing and analytics teams.
- Deliver workshops, presentations, demos, proofs of concept, and customer-facing technical collateral.
- Translate field insights into strategic recommendations for Product and Engineering roadmap decisions.
- Serve as the tier-3 escalation point for complex technical challenges in customer-facing data environments.
- Establish and refine sales qualification and POC intake processes.
- Collaborate with GSIs, consulting organizations, internal teams, and external business partners to drive customer outcomes.
- Provide thought leadership through mentoring and knowledge sharing.
Requirements
- 5+ years of experience in a customer-facing, pre-sales, or consulting role influencing technical executives and driving customer data and marketing strategy.
- At least 2 years of experience implementing modern data estate, CDP, and Lakehouse architectures focused on data and AI applications.
- Experience designing and implementing marketing and customer-engagement applications involving identity resolution, segmentation, personalization, next-best action, and agentic AI workflows.
- Ability to facilitate and influence executive stakeholders while connecting technology strategy to business value and ROI.
- Proficiency with AI-assisted programming, debugging, and problem-solving using SQL and Python.
- Experience collaborating with Global System Integrators and third-party consulting organizations.
- Hands-on experience with major public cloud environments, including AWS, Azure, or GCP, and knowledge of cloud-native data ingestion, activation, and governance.
- Deep customer data and marketing analytics experience, with familiarity in data engineering, data warehousing, AI/ML personalization, data governance, or streaming.
- Undergraduate degree or higher in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering, or a similar discipline.
Benefits
- Databricks offers comprehensive benefits and perks, with specific offerings varying by region.
- The total compensation package may include an annual performance bonus and equity.
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.