Data Engineering Lead

1 month ago


Austin, United States XeoMatrix Full time

Data Engineering Lead

 

We are currently seeking an experienced professional with 8+ years of data warehousing experience. This candidate must possess technical, business analysis, and communication skills. This position offers an opportunity to work directly with clients to design strategic data solutions and lead a development team. This includes architecting, building, & maintaining data lakes, data warehouses, & data pipelines. This individual will work closely with customers to gather requirements, prototype designs, and develop the final deliverable. Responsibility includes leading a team of data engineers and mentoring in best practices. Familiarity with the Tableau architecture and best practices is a plus.

 

Position Requirements:

 

* 8+ years experience with implementing client-facing large-scale data warehouse solutions

* Experience leading and mentoring data engineering teams

* Experience assisting clients with migrating from legacy to modern data platforms

* Ability to articulate, define, & execute a strategic vision of a proposed architecture

* Develop & enforce standards in database design & development best practices

* Strong leadership & communications skills to lead a data engineering team

* Strong experience with AWS, GCP, & Azure technology stacks

* Experience implementing data solutions using Snowflake, Databricks, Redshift, BigQuery, & Azure SQL Database

* Experience building data pipelines with Matillion, Fivetran, Azure Data Factory, AWS Glue

* Expertise with Tableau dashboard and data visualization design is a plus

* Experience with programming: Python, REST APIs a plus

* Industry experience in Retail, Finance, Supply Chain, Healthcare, and/or Manufacturing

 

XeoMatrix is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other classification protected by Federal, State, or local law. Employment decisions are based solely on qualifications, merit, and business need.


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