Sterling Construction Company, Inc.
Location: The Woodlands, TX
Pay Range: N/A
Salary Interval: Salary
Application Instructions:
The Data Architect is responsible for Sterling's data architecture, data engineering, and data governance efforts. Reporting to the VP, Applications Development & Data Analytics, the scope of the role will include designing and managing the company's data infrastructure, including our data lake, data warehouse, and ETL solutions. This role will play a pivotal part in ensuring data quality, enabling master data management, and supporting the technology stack that drives our data-driven decision-making processes.
Position_Description : Advise in the development of a comprehensive data strategy and IT investment roadmap that focuses on harnessing and integrating data effectively. Evaluate and recommend data technologies and solutions.Design, Develop and implement the overall data architecture, including data sources, storage, pipelines, and data flow. Build and maintain data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses, data lakes, or other systems. Develop and maintain robust CI/CD pipelines for data integration, processing, and deployment.Communicate complex technical concepts to non-technical stakeholders. Drive cross-functional collaboration with IT and business teams to ensure data platform initiatives are aligned with organizational goals.Implement processes and systems to ensure data accuracy, consistency, and reliability. Implement best practices for data modeling, data governance, and data integration across cloud and on-premises environments.
Position Requirements :
To perform this job successfully, an individual must be able to perform each essential duty
satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or
ability required. Reasonable accommodations may be made to enable individuals with disabilities
to perform the essential functions.
8+ years of experience implementing and supporting data architecture, data warehousing, and ETL processes utilizing tools such as Fabric, Databricks, Snowflake, or equivalent. (Fabric preferred)Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field or demonstration of equivalent work experience.Strong grasp of emerging AI and ML technologies and how to integrate them into data solutions, highly preferred.Excellent verbal and written communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
Equal Opportunity Employer :
We are an equal opportunity employer: We do not discriminate based on race, color, national origin, religion, creed, sex, sexual orientation, gender identity, disability, age, genetic information, marital status, military status, membership or activity in a local human rights commission, or status with regard to public assistance, or any other characteristic protected by applicable law.
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Equal employment opportunity, including veterans and individuals with disabilities.
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