Data Steward

Evolution Cloud Services (EVOCS); Denver (CO); On-site; USD 80,000 - 120,000; Full time

Job summary

A tech solutions firm in Denver is seeking a versatile data professional to ensure the accuracy and governance of critical data assets. The ideal candidate will work closely with engineering and operations teams, focusing on designing data pipelines and maintaining data quality. Strong analytical skills in Python and SQL are required, along with experience in cloud platforms and data modeling tools. This role fosters collaboration and aims to empower businesses through actionable insights.

Qualifications

• Strong proficiency in Python and SQL.
• Experience with data modeling tools like Star Schema and Data Vault.
• Experience with ETL tools like Azure Data Factory and DBT.

Responsibilities

• Design and maintain data pipelines (ETL/ELT).
• Build and optimize data warehouses/lakehouses.
• Ensure data quality, governance, and security.

Skills

Python

SQL

Data modeling

ETL tools

Data visualization

Cloud services

Education

Bachelor’s or Master’s in Computer Science, Data Science, or related field

Tools

Power BI

Tableau

Azure Data Factory

Azure Synapse

AWS Redshift

Databricks

Job description

At EVOCS, our journey began with a mission to empower businesses with the right technology solutions. Founded by a team of passionate experts, we have grown into a trusted partner for organizations seeking innovative and comprehensive tech services. Our roots in employee-managed operations reflect our commitment to quality, consistency, and client success.

Through our devotion to growing and providing the highest quality services, we have adapted to changing client needs and expanded our repertoire to utilize the finest HR Technologies to become subject matter experts.

We are seeking a versatile data professional to help ensure the accuracy, accessibility, and governance of critical data assets. This role partners closely with engineering, operations, and compliance teams to define data standards, maintain metadata, and ensure responsible data lifecycle management. The ideal candidate combines strong analytical skills with a deep understanding of cloud data ecosystems and enterprise data governance practices.

🧩 What you will do

• Design and maintain data pipelines (ETL/ELT).
• Build and optimize data warehouses/lakehouses.
• Ensure data quality, governance, and security.
• Work with cloud platforms (Azure, AWS, GCP) and tools like Databricks, Fabric, Snowflake.
• Implement Data Vault or Dimensional models for analytics.

Data Analyst

• Query and analyze data using SQL, Python, or BI tools.
• Create dashboards and reports in Power BI, Tableau, or similar.
• Perform data profiling, trend analysis, and KPI reporting.
• Communicate insights to stakeholders for decision-making.

🧠 What you will bring

• Strong proficiency in Python, SQL
• Experience with data modeling tools (Star Schema, Data Vault)
• Experience with ETL tools (Azure Data Factory, DBT)
• Familiarity with BI and visualization tools (Power BI, Tableau)
• Cloud & Storage experience (Azure Synapse, AWS Redshift)
• Ability to translate data into actionable insights

Ideally you have…

• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• Experience with big data technologies (Spark, Hadoop).
• Experience with Azure Purview, Microsoft Fabric
• Strong communication and stakeholder management skills.

We are privileged to serve our loyal customer base in our mission to build lasting relationships with our clients based on trust and mutual success. We strive to deliver exceptional quality and consistency through a white-glove approach. By empowering businesses with tailored solutions and insights, we help them achieve their goals and navigate the ever-evolving tech landscape.