
Senior Solutions Architect - Lakebase
Databricks2 days ago
Stockholm, SwedenSenior
Responsibilities
- Collaborate with GTM leadership and account teams to design and execute engagement strategies across an assigned territory.
- Partner with Account Executives to plan accounts, develop presentations and demos, and drive Lakebase product adoption.
- Act as a trusted Solutions Architect and technical champion for customer stakeholders and executives.
- Deliver customer workshops and create technical collateral to expand customer knowledge and thought leadership.
- Translate field-derived insights into recommendations that influence the Lakebase product roadmap.
- Serve as the tier-3 escalation point for complex technical challenges in mission-critical customer environments.
- Collaborate with Global System Integrators and third-party consulting organizations to drive customer outcomes.
Requirements
- 10+ years of transactional database (OLTP) expertise spanning engineering, product development, administration, and pre-sales, with a record of delivering client-facing solutions.
- 6+ years of customer-facing pre-sales or consulting experience influencing technical executives and driving data strategy and product adoption.
- Experience architecting transactional data solutions within Big Data, Lakehouse, and AI ecosystems.
- Infrastructure, platform, and administration expertise in disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, and system migrations.
- Experience influencing OLTP product roadmaps using market insight.
- Proficiency programming, debugging, and problem-solving with SQL and Python.
- Prior experience with Apache Spark or similar analytics-engine tooling for large-scale data processing.
- Hands-on experience building solutions in AWS, Azure, or GCP.
- Broad experience in at least two of data engineering, data warehousing, AI, ML, governance, transactional systems, application development, and streaming.
- Undergraduate degree or higher in a technical field such as Computer Science, Applied Mathematics, Engineering, or a similar discipline.
- Ability to drive complex projects to completion in fast-paced, customer-facing environments.
- Ability to coordinate cross-functionally across GTM and R&D teams and co-plan large territories with Account Executives.
Benefits
- Open to hiring in Sweden, Denmark, and Finland.
- Hybrid work arrangement indicated by the #LI-hybrid designation.
- Databricks offers comprehensive regional benefits and perks; specific details vary by location.
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.