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Full-time
Posted 2h ago
~40 hrs/week
Responsibilities
You will act as a technical advisor to the sales team and help customers implement the Databricks Lakehouse Platform to achieve data-driven outcomes. Additionally, you will collaborate with product and engineering teams to drive the platform roadmap and support strategic customer projects.
Requirements
Candidates must have over 15 years of experience in data engineering, data science, or technical architecture, with at least 10 years focused on Big Data technologies. Proficiency in programming languages like Python, Java, or Scala and experience with public cloud providers are essential.
Full job description
FEQ427R111
As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems
Reporting to the Field Engineering Leader, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.
This is a Hybrid role, based in Mumbai.
The impact you will have:
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.
Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
What we look for:
15+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
10+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
Strong consulting / customer facing experience , working with external clients across a variety of industry markets
Coding experience in Python, R, Java, Apache Spark™ or Scala
Experience building distributed data systems
Have built solutions with public cloud providers such as AWS, Azure, or GCP
Available to travel to customers in your region
Nice to have: Databricks Certification
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.
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Databricks applicants
Please apply through our official Careers page at databricks.com/company/careers.
All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Offices: 160 Spear Street, 13th Floor, San Francisco, CA 94105, US · Fora 22 Berners Street, London, England W1T 3LP, GB · Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL · 11 W 42nd St, 30th Floor, New York, NY 10036, US · 120 Adelaide St W, Toronto, Ontario M5H, CA
How many Data & Analytics jobs are open in Mumbai City, India right now?
There are currently 1,479 open data & analytics positions in Mumbai City, India listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Mumbai City, India?
Companies currently hiring include Accenture, PwC, Morgan Stanley, Nomura, Genpact, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Mumbai City, India?
Yes — 308 of the 1479 open data & analytics positions offer remote or hybrid work (39 remote, 269 hybrid).
How do I apply for Data & Analytics jobs in Mumbai City, India?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.