Responsibilities:
Must be able to architect and implement scalable, secure, and high-performance data solutions on the Databricks and Azure Fabric or Snowflake & BI
Must be able to lead discovery workshops to understand business challenges, data requirements, and current technology ecosystems.
Must be able to lead technical engagements, collaborating with client stakeholders and internal teams.
Must be able to collaborate with sales and pre-sales teams to provide technical guidance during RFP responses and solutioning.
Qualification & Experience:
Minimum of 15 years of experience in data architecture, engineering, or analytics roles, with at least 5 years of hands-on experience with Databricks and Azure Fabric or Snowflake and any PowerBI/Tableau
Proven track record of designing and implementing large-scale data solutions across industries.
Understanding of cloud-native services for data ingestion, transformation, and orchestration (e.g., AWS Glue, Azure Data Factory, GCP Dataflow).
Certifications (in any) - Snowflake advanced Certification, AWS, Azure, or GCP, Databricks Certified Data Engineer Professional.
Any Graduate