Director – Data Engineering
Posted on 3/28/2023
Austin, TX, USA
Experience Level
Desired Skills
Data Analysis
Google Analytics
  • Bachelor's or Master's degree in Computer Science, Information Systems, or related field
  • 7+ years of experience in data engineering, data warehousing, data integration and data transformation
  • 3+ years of experience managing data engineering teams
  • Strong experience with cloud-based data warehousing technologies such as SnowFlake and BigQuery
  • Highly proficient programming skills in SQL and Python
  • Extensive experience with reporting tools such as Looker and Tableau
  • Experience with Google Analytics and Google Tag Manager
  • You have a strong understanding of data governance, data security, and data privacy best practices
  • You are a problem solver with strong analytical skills
  • You have excellent communication, collaboration, and leadership skills
  • You are a player/coach that fosters a culture of continuous improvement and learning
  • Manage the data engineering team, provide leadership and guidance, and promote a culture of continuous learning and development
  • Lead internal and external engineering resources, providing direction on requirements, architecture, and prioritization of data engineering projects to ensure timely delivery of high-quality solutions
  • Collaborate with cross-functional teams, including data analysts, data scientists, software engineers, product managers, and business stakeholders, to understand business needs and develop data solutions that support business objectives
  • Develop and enforce data governance policies and ensure data accuracy, consistency, and security
  • Develop and maintain ETL processes to extract, transform, and load data from various sources into the data warehouse
  • Design and implement data transformation pipelines to clean, normalize, and enrich data in the data warehouse
  • Develop and maintain reporting solutions to enable data-driven decision-making, using reporting tools such as Looker and Tableau
  • Develop and maintain data integration pipelines using tools such as FiveTran, Simon Data, and Google Analytics
  • Develop and maintain data warehousing solutions using cloud-based technologies such as SnowFlake and BigQuery
  • Develop and maintain tagging solutions using Google Tag Manager to enable effective tracking of user behavior on the company's digital platforms
  • Monitor and optimize data infrastructure performance, including data pipeline latency, data processing time, and query performance
  • Stay up-to-date with industry trends and best practices in data engineering and apply them to improve the company's data infrastructure and processes
  • Collaborate with C-suite executives and other organizational leaders to understand their data needs and provide strategic guidance on data engineering initiatives that align with business goals

201-500 employees

Handmade cowboy boots
Company Overview
Tecovas' mission is to be the most beloved heritage western brand in the world by creating unparalleled products, experiences, and joy for everyone who crosses their path.
  • We offer insurance plans that pay 99% of your health premium coverage and 100% of your dental & vision insurance coverage for your family/dependents
  • Paid Parental Leave
  • Flexible PTO policy
  • Corporate wellness program
  • Competitive salary
  • Generous employee discounts!
Company Core Values
  • We strive to do what's right
  • It takes each and all of us
  • We are trailblazers
  • Clear is kind
  • Obstacles are opportunities
  • Fun is fun