mid software engineering Solutions Architect ic

About this role

Databricks is hiring a mid-level Solutions Architect in the software engineering function based in Bangalore, India. The posting calls out experience with Python, Scala, SQL, AWS.

Role
Solutions Architect
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Bangalore, India
Department
Professional Services Operations

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Job description

from Databricks careers

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.
  • This is an excerpt. Read the full job description on Databricks careers →
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