Role : Solutioning Lead - Data Engineering
Looking for a Solutioning lead for Data Engineering with a combination of either AWS or Azure with Snowflake or databricks as primary stack.
Role Responsibilities :
- Architecture and Solution on AWS or Azure with Snowflake or Databricks platforms data warehouse, lakehouse, data fabric and datamesh.
- Sizing ,Estimation and Implementation plan for solutioning.
- Solution Prototyping, Advisory and orchestrating in-person / remote workshops.
- Work with hyperscalers and platform vendors to understand and test platform roadmaps and develop joint solutions.
Qualifications :
18 +years of total experience with more than 5+year as Solution Architect designing and developing data architecture patterns.Minimum 5-year hands-on experience in building AWS or Azure with Snowflake or Databricks based solutions.Minimum 3 years experience as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint.Strong expertise in handling large and complex RFPs / RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment.Strong relationship building skills and ability to provide technical advisory and guidance.Technology architecture & implementation experience with deep implementation experience with Data solutions.15~20 years of experience in Data Engineering and 5+ Years Data Engineering Experience on cloud data engineering.Develop or Co-develop proofs of concept and prototypes with customer teams.Deep expertise on End to End Pipeline ( or ETL) development following best practices and including orchestration, Optimization of Data pipelines.Large legacy migration ( Hadoop , Terdata like) experience to Cloud Data platforms.Expert level proficiency in engineering & optimizing with various data engineering ingestion patterns Batch, Micro Batch, Streaming and API.ref : hirist.tech)