Sr. Solutions Architect

WinsAbove; India; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Comprehensive benefits package

Inclusive and diverse workplace culture

Job summary

WinsAbove is seeking a Senior Solutions Architect to shape the future of Data & AI by partnering with sales teams and guiding customers on implementing the Databricks Lakehouse Platform. You will work closely with strategic prospects to develop technical solutions that address their unique data challenges.

The ideal candidate will have over 8 years of experience in data engineering or data science, with strong expertise in Big Data technologies such as Apache Spark and cloud environments like AWS, Azure, or GCP. Join us to make a tangible impact in the evolving Data & AI landscape.

Qualifications

• 8+ years in data engineering, data science, or similar roles.
• Strong consulting/customer facing experience.
• Coding experience in Python, R, Java, or Scala.

Responsibilities

• Partner with sales to provide technical leadership.
• Consult on Big Data architectures and implement proof of concepts.
• Collaborate with Solutions Architects to support users.

Skills

Big Data technologies

Apache Spark™

Python

Data Engineering

Data Science

Consulting skills

Tools

Hadoop

Cassandra

AWS

Azure

GCP

Job description

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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 Manager, 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.

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:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.
• 8+ 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.

Benefits

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

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.