What are the responsibilities and job description for the Senior Data Architect - GC or Citizens (Hybrid - MN) position at OM Housing?
🚀 Senior Data Engineer/Architect (Platform & Architecture)💼 Job Details
- Job Type: Contract-to-Hire
- Location: Hybrid
- Eligibility: 🇺🇸 USC and GC Only
🌐 Overview
The Data & AI Team is building the future of local media by deploying end-to-end, high-impact solutions that solve complex data and AI challenges.
This is a brand-new role created from splitting a hybrid AI/Data position, now entirely focused on data platform engineering and architecture. We are seeking a visionary engineer to lead the development, infrastructure, and architectural design of a modern data ecosystem powering analytics, AI, and personalization.
🎯 Key Focus Areas
- Scalable Infrastructure: Build production-grade data foundations supporting analytics, AI initiatives, and customer intelligence.
- Pipeline Development: Lead the development of Python-based ELT/ETL pipelines.
- Snowflake Ownership: Own the platform architecture, performance, and cost optimization.
- Data Modeling: Design scalable schemas for cross-channel insights and reusable data products.
📋 Responsibilities
- ⚙️ Data Engineering: Build, deploy, and maintain scalable ELT/ETL pipelines using Python & SQL; develop reusable ingestion frameworks and connectors.
- 🛡️ Quality & Governance: Implement data quality checks, testing, anomaly detection, and establish data governance and lineage standards.
- 🤖 AI-Assisted Dev: Apply agentic development practices (AI-assisted development, automated testing, and documentation).
- ❄️ Snowflake Management: Optimize performance, storage, and compute efficiency; configure resources, clustering keys, and scaling policies.
- ♾️ DevOps & CI/CD: Automate infrastructure deployments via CI/CD pipelines and infrastructure-as-code.
🛠️ The Tech Stack & Environment
- Data Platform: Snowflake ❄️
- Engineering: Python 🐍 | SQL 💾
- Orchestration & Transform: Airflow 🌪️ | dbt 🏗️
- Cloud Infrastructure: AWS (Primary) ☁️ | GCP (Growing) 🌐
- Business Intelligence: Domo 📊
- The Team & Culture: 1 Data Engineer, 1 Data Scientist report engineers. Startup-like, high ownership, and AI-forward innovation.
💡 High-Impact Initiatives
- 👥 Customer 360: Building a unified customer data platform.
- 📈 User Journey Graph: Developing cross-channel behavioral tracking systems.
- 🧠 Personalization & Recommendations: Driving AI-powered user engagement.
🔑 Qualifications
Required Skills
- 5 years of production-grade data engineering experience.
- Strong experience with cloud data platforms (Snowflake highly preferred).
- Deep knowledge of data architecture, quality frameworks, and data governance.
- Advanced SQL skills (optimized for distributed compute environments).
- Hands-on experience with orchestration tools like Airflow and dbt.
- Solid software engineering fundamentals (building APIs, working with major data libraries).
Nice to Have
- Advanced Snowflake features (Streams, Tasks, Snowpipe, Snowpark).
- Experience or strong interest in MLOps, NLP, or AI/ML systems.
🤝 Leadership & Culture Fit
- Mentor: Passionate about coaching junior engineers and promoting engineering best practices.
- Innovator: Thrives in ambiguous, greenfield environments and loves building AI-driven platforms from scratch.
- Communicator: Bridges the gap effortlessly between technical requirements and non-technical business goals.
- Automator: Possesses a strong problem-solving mindset focused on scalability and automation.