Aimed at mid-level solution architects with expertise in Apache Spark and Databricks, comfortable with client-facing technical advisory roles and travel within India.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Databricks
CSQ327R186
We are seeking an experienced Resident Solution Architect (RSA) to join our Professional Services team and work directly with strategic customers on their data and AI transformation initiatives using the Databricks platform. As an RSA, you will serve as a trusted technical advisor and hands-on expert, guiding customers to solve complex big data challenges using the Databricks platform.
Must have skills:
10+ years of experience with Big Data Technologies such as Apache Spark™, Kafka, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role.
4+ years of experience as a Solution Architect creating designs, solving Big Data challenges for customers.
Expertise in Apache Spark, distributed computing, and Databricks platform capabilities
Comfortable writing code in Python, PySpark, and Scala.
Exceptional SQL, Spark SQL, Spark-streaming skills.
Advanced knowledge of Spark optimizations, Delta, Databricks Lakehouse Platforms
Expertise in Azure.
Expertise in NoSQL databases (MongoDB, Redis, HBase)
Expertise in data governance and security (Unity Catalog, RBAC).
Ability to work with Partner Organization and deliver complex programs.
Ability to lead large technical delivery teams.
Understands the larger competitive landscape, such as EMR, Snowflake, and Sagemaker.
Experience of migration from On-prem / Cloud to Databricks is a plus.
Excellent communication and client-facing consulting skills, withthe ability to simplify complex technical concepts.
Willingness to travel for onsite customer engagements within India.
Documentation and white-boarding skills.
Good-to-have Skills:
Experience with ML libraries/frameworks: Scikit-learn, TensorFlow, PyTorch.
Familiarity with MLOps tools and processes, including MLflow for tracking and deployment.
Experience delivering LLM and GenAI solutions at scale (RAG architectures, prompt engineering).
Extensive experience on Hadoop, Trino, Ranger and other open-source technology stack.
Expertise on cloud platforms like AWS and GCP.
About Databricks
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.
Benefits
At 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.
Source: Databricks careers