Big Data Architect

Job Reference: CSQ424R34

As a Big Data Architect in our Professional Services team, you will work with clients on short to medium term customer engagements concerning their Big Data challenges using the Databricks platform. Your role involves providing data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers extract the most value from their data. You will report to the Manager of Professional Services.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include constructing reference architectures, creating how-to guides and building production grade MVPs
• Guide strategic customers in implementing transformational big data projects, including third-party migrations, end-to-end design, building, and deployment of industry-leading big data and AI applications
• Consult on architecture and design; initiate or implement strategic customer projects which lead to a successful understanding, evaluation and adoption of Databricks
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks technical team, Project Manager, Architect and customer team to ensure the technical components of the engagement are delivered to meet customers' needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback, and guide rapid resolution for engagement specific product and support issues

What we look for:

• At least 9 years of experience with Big Data Technologies such as Spark and Kafka in a customer-facing post-sales, technical architecture or consulting role
• At least 5 years of experience independently working on Big Data Architectures
• Experience in the Databricks ecosystem is a plus
• Aptitude in writing code in either Python or Scala
• Experience working across any Cloud Platforms (GCP / AWS / Azure)
• Experience interacting with clients and managing conflicts
• Able to develop technical skills in areas that support the deployment and integration of Databricks-based solutions to complete customer projects

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 a 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 most challenging problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion:

At Databricks, we are dedicated to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure our hiring practices are inclusive and meet equal employment opportunity standards. Individuals seeking employment at Databricks are considered irrespective of 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 a role requires access to export-controlled technology or source code, it is within the Employer's discretion to apply for a U.S. government license for such positions, and the employer may decline to proceed with a candidate on this basis alone.