Databricks Looking for Specialist Solutions Architect : ML at Remote Full Time

As a Specialist Solutions Architect (SSA) in Machine Learning , you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and will support the Solution Architects, that requires hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Leader, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty – whether that be performance tuning, machine learning, industry expertise, or more. The individual can be based either in BLR / DEL / MUM.

The impact you will have:
Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment

Architect production level workloads, including end-to-end pipeline load performance testing and optimization

Become a technical expert in an area such as Machine Learning , Big Data , Data Management, Cloud platforms, data science, machine learning, or architecture

Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures

Provide tutorials and training to improve community adoption (including hackathons and conference presentations)

Contribute to the Databricks Community

What we look for:
9+ years experience in a customer-facing / presales / consulting technical role with expertise in at least one of the following: Machine Learning / Data Engineering / Data Science

Production programming experience in Python, R, Scala, Java or SQL

Experience scaling big data workloads that are performant and cost-effective.

Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.

Experience implementing industry specific data analytics use cases.

Benefits

Private medical insurance

Accident coverage

Employee’s Provident Fund

Equity awards

Paid parental leave

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Business travel insurance

About Databricks

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.