Solution Architect- Data Engineering

The candidate needs to demonstrate technical expertise in cloud technology (Azure, GCP, AWS) and Data Engineering skills.

• Good understanding / familiarity of data and analytics tools and technologies
• Expertise in one of the clouds Azure or GCP
• Expertise in Databricks or Snowflake or BigQuery and Dataproc
• Strong work ethic and can prioritize what is important based on value from the day to day demands to the strategic goals
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across the internal organization
• Lead client conversations in introducing our core capabilities and make them relevant to the clients problem statement
• Look for opportunities based on changing market conditions through own research and collaboration with the market facing leadership at Tredence
• Working experience in one or combination of the clouds (Azure, GCP, AWS) and should have deep expertise in either Databricks or Snowflake or GCP Data Engineering stack
• Work with COE teams to provide inputs on accelerators to be built and be able to demonstrate existing accelerate to the client