What You'll Do:

Managing, developing and supporting data lakes, lake houses, warehouse on premise and on cloud, ETL solutions and other analytics solutions.
You will work on various types of database technologies.
You will work Cloud data platform.
On cloud security models, encryption strategy, network layers for on-prem + cloud hybrid model and other related concepts.
On cloud data migration for large sized enterprise data warehouse environments.
Establishing new engineering team and working towards taking the team to steady state.
On native cloud services (Azure and/or AWS) and Python, Scala, SQL

Expertise You'll Bring:

15+ years of hands-on experience with Cloud data platform - most and recent experience in Azure Databricks (AWS will also be acceptable)
Hands on experience in Databricks and deep understanding of its architecture, capabilities, features, possibilities
Hands on experience with various types of database technologies
Experience managing, developing and supporting data lakes, lake houses, warehouse on premise and on cloud, ETL solutions and other analytics solutions.
Experience with various file formats that support big data
Experience working with development/engineering teams in a global environment
In depth practical hands-on experience on native cloud services (Azure and/or AWS) and Python, Scala, SQL
Strong understanding of cloud DevOps practices and implementation.
Experience in cloud data migration for large sized enterprise data warehouse environments.
Understanding of cloud data governance include compute optimization, cost control, user profile management etc.
In depth understanding of cloud operations strategy and user management across various cloud providers and cloud platforms.
Strong understanding and hands-on on cloud security models, encryption strategy, network layers for on-prem + cloud hybrid model and other related concepts.
Experience in establishing new engineering team and working towards taking the team to steady state
Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team

Azure Databricks Architecture