Solutions Architect (Lakebase)
Databricks3 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Collaborate with go-to-market leadership and account teams to design and execute engagement strategies across the assigned territory.
- Serve as a trusted expert and technical champion who builds stakeholder credibility and drives Lakebase adoption and product vision.
- Develop and deliver customer workshops, presentations, demos, and technical collateral.
- Enable clients at scale by increasing technical knowledge and thought leadership.
- Translate field-derived, data-driven insights into strategic product roadmap recommendations for Product and Engineering teams.
- Act as the tier-3 escalation point for complex technical challenges in mission-critical customer environments.
- Partner with Account Executives to develop and implement strategies across assigned accounts.
Requirements
- 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales.
- 6+ years of customer-facing, pre-sales, or consulting experience influencing technical executives and driving data strategy and product adoption.
- Experience designing and delivering client-facing solutions and integrating transactional data systems with 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 through market insight.
- Ability to co-plan large territories with Account Executives and collaborate across go-to-market and R&D teams.
- Experience working with Global System Integrators and third-party consulting organizations.
- Proficiency in programming, debugging, and problem-solving with SQL and Python.
- Hands-on experience building solutions in AWS, Azure, or GCP.
- Broad experience in at least two areas including 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.
- Track record of delivering complex projects in fast-paced, customer-facing environments.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available from Databricks.
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.