Solutions Architect (Lakebase)

Databricks; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Databricks is seeking an experienced Solutions Architect for the Lakebase product line based in Bengaluru, India. This role involves collaborating with account teams to drive product adoption and providing technical expertise to clients.

You will influence the roadmap based on market insights and contribute to customer success by resolving complex technical challenges in a fast-paced environment. A strong background in transactional databases and experience with cloud platforms are essential for this position.

Qualifications

• 10+ years of transactional database expertise in engineering, product development, and pre-sales.
• 6+ years in a customer-facing, pre-sales or consulting role.
• Hands-on experience building solutions within major public cloud environments.

Responsibilities

• Collaborate with leadership to design engagement strategies.
• Serve as a trusted advisor and expert Solutions Architect.
• Enable clients through workshops and customer-facing materials.
• Influence the product roadmap with strategic recommendations.
• Handle complex technical challenges for customer success.

Skills

Transactional database expertise (OLTP)

SQL

Python

Cloud environments (AWS, Azure, GCP)

Data engineering

Customer engagement

Education

Undergraduate degree in a technical field

Job description

Mission

The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines to establish product market fit and drive rapid revenue growth. They are part of a global go-to-market team, each covering a specific local region, engaging clients across business units and verticals. Working in partnership with direct account teams, they jointly engage clients, foster relationships, and position the product line to provide compelling reasons for adoption and growth, ensuring clients meet their business objectives.

The Lakebase Product-line Requires The Following Core Technical Competencies

• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre‑sales, with a proven track record of designing and delivering client‑facing solutions.
• Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.
• Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
• Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale‑out methods, identity and security management, and migrations (vendor‑to‑vendor, on‑prem to cloud).

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high‑impact engagement strategies across your territory.
• Serve as an expert Solutions Architect and trusted advisor, building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer‑facing collateral that increases technical knowledge and thought leadership.
• Influence product roadmap by translating field‑derived, data‑driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges as the tier‑3 escalation point for the field, ensuring customer success in mission‑critical environments.

Competencies & Responsibilities

• 6+ years in a customer‑facing, pre‑sales or consulting role influencing technical executives, driving high‑level data strategy and product adoption.
• Proven ability to co‑plan large territories with Account Executives and operate in a highly coordinated, cross‑functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third‑party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem‑solving using SQL and Python.
• Hands‑on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience in two or more of the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast‑paced, customer‑facing environments.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.