Databricks - Manager, Forward Deployed Engineering
Requirements
• Data Engineers / Architects • Extensive experience in Big Data ecosystem (Spark, Hadoop ecosystem, Cassandra etc) • Big Data ecosystem • Knowledge of AWS / Azure / GCP • AWS / Azure / GCP • Knowledge of Databricks ecosystem is a plus • Proven documentation skills, along with strong project management experience. • Strong abilities manage multiple engagements, while delivering extremely high levels of customer satisfaction. • Strong abilities manage multiple engagements • Excellent people skills to partner with various key business stakeholders. • Conversant with business issues our customers face today and likely big data use cases in different industries • Experience estimating effort and scope for services
Responsibilities
• You will work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-to's and production grade MVPs • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications • Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. • What we look for: • What we look for: • 10+ years experience with Big Data Technologies such as Apache Spark™ Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role • 4+ years of people management experience , managing a team of Data Engineers , Data Architects etc • 6+ years of experience working on Big Data Architectures independently • Experience working across Cloud Platforms (GCP / AWS / Azure) • Experience working on Databricks platform is a plus • Documentation and white-boarding skills. • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. • Willingness to travel for onsite customer engagements within India. • Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt 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.
Benefits
• Private medical insurance • Accident coverage • Employee's Provident Fund • Paid parental leave • Gym reimbursement • Annual personal development fund • Work headphones reimbursement • Business travel insurance • 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.BenefitsAt 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. • Applicant Privacy Notice
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