Senior Solutions Architect Mumbai, India

Databricks Inc.; Mumbai; On-site; INR 400,000 - 700,000; Full time

Job summary

Databricks Inc. is seeking a Senior Solutions Architect to shape the Data & AI landscape by guiding data engineering and data science teams in deploying the Databricks Lakehouse Platform.

You will advise the sales team, collaborate with product and engineering, and drive architectures for strategic projects and proofs of concept across cloud ecosystems. You will leverage deep expertise in big data, Spark, AI, and data analytics to deliver tangible data-driven outcomes while building

Qualifications

• Extensive pre-sales/consulting experience with data/AI platforms.
• Strong customer-facing skills across industries.
• Hands-on coding experience with Python, R, Java, Spark or Scala.

Responsibilities

• Partner with the sales team to provide technical leadership and articulate value of Databricks to customers.
• Develop account strategies and execute initiatives with customers and prospects.
• Lead architectural discussions, validate integrations with cloud services and third-party tools.
• Collaborate with product and engineering to influence roadmaps and best practices.
• Build technical champions and contribute to open-source communities around Spark, Delta Lake, and MLflow.

Skills

Consulting experience

Customer facing

Python/R/Java/Scala

Apache Spark

Cloud platforms (AWS/Azure/GCP)

Travel availability

Databricks certification

Job description

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 facingexperience , workingwith external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark or Scala
• 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