Staff Software Engineer - Ingestion

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

Benefits offered by this job

Comprehensive benefits

Diversity and inclusion commitment

Job summary

A leading data and AI company is seeking a Staff Software Engineer - Ingestion in Bengaluru, Karnataka. The role focuses on delivering scalable data solutions and requires expertise in large-scale distributed systems, with a strong emphasis on database replication and performance optimization. The ideal candidate should have at least 15 years of experience and be driven by delivering customer value. Join us to make a significant impact in the data engineering space.

Qualifications

• 15+ years of industry experience building and supporting large-scale distributed systems.
• Experience in Database replication and supporting major database vendors.
• Strong foundation in algorithms and data structures.

Responsibilities

• Solve real business needs at large scale.
• Deliver a highly scalable engine processing large volumes of data.
• Conduct low-level systems debugging on production clusters.
• Lead technical projects and contribute as a Technical Team Lead.

Skills

Distributed systems

Database replication

Performance measurement

Algorithms

Mentoring

Job description

Join to apply for the Staff Software Engineer - Ingestion role at Databricks

P-375

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems— from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready‑to‑use, point‑and‑click connectors for a wide variety of sources, including enterprise applications, databases, cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks—Dashboards, Notebooks, SQL, AI—requires ingestion capabilities, and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We want engineers who are hands‑on and are looking to make a large impact on an important problem for the company.

The Impact You Will Have

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault‑tolerant engine processing hundreds of terabytes of data daily across thousands of customers.
• Conduct low‑level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Be a strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng‑wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de‑risk through prototyping and validation.
• Contribute as a Technical Team Lead by mentoring others, leading sprint planning, delegating work, and participating in project planning.

What We Look For

• 15+ years of industry experience building and supporting large‑scale distributed systems.
• Experience in areas like Database replication, backup, transaction recovery at a major database vendor (Microsoft SQL Server, Oracle, IBM, etc.).
• Comfortable working toward a multi‑year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real‑world use cases.
• Experience driving company initiatives toward customer satisfaction.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

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