Senior Enterprise Data Warehouse Architect
Ho-Chunk, Inc.
full-time
Posted on:
Location Type: Office
Location: Omaha • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudETLPythonSQLTableau
About the role
- Design, implement, and maintain enterprise data warehouse and data lake platforms.
- Develop and enforce data architecture, modeling, integration, and governance standards.
- Manage ETL/ELT pipelines to ensure data quality, security, scalability, and reliability.
- Optimize storage, performance, and cost efficiency across cloud and hybrid environments.
- Deliver BI dashboards, reports, and self-service analytics solutions.
- Standardize KPIs, metrics, and reporting frameworks across departments.
- Partner with business stakeholders to translate data into actionable insights.
- Promote adoption of data visualization and analytics tools.
- Develop and support AI/ML models, predictive analytics, and automation initiatives.
- Collaborate on advanced use cases including segmentation, personalization, forecasting, and fraud detection.
- Implement MLOps practices for model deployment, monitoring, and maintenance.
- Ensure compliance with data governance, regulatory requirements, and internal policies.
- Partner with IT Security and Compliance to protect sensitive data assets.
- Evaluate and recommend data platforms, BI tools, cloud services, and vendors.
- Stay current with emerging technologies and industry best practices.
- Perform other duties as assigned.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience).
- Minimum of 7 years of experience in data engineering, enterprise data warehousing, or analytics platform development.
- Strong proficiency in SQL, Python, C#, and ETL/ELT tools.
- Experience with cloud platforms such as AWS or Azure, including hybrid environments.
- Strong knowledge of BI and data visualization tools (Power BI, Tableau).
- Familiarity with data governance, compliance frameworks, and security protocols.
- Exposure to AI/ML frameworks and MLOps practices preferred.
- Excellent communication and stakeholder management skills.
Benefits
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development opportunities
- 401(k) plan
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonC#ETL toolsELT toolsdata architecturedata modelingdata integrationAI/ML frameworksMLOps practices
Soft skills
communicationstakeholder management