Data Architect

Description

ImOn Communications has been the LOCAL choice for high-speed Internet, cable TV, and phone in Eastern Iowa since 2007. Since then, we have expanded our network to provide fiber Internet services to more than a dozen communities in Iowa and beyond! As we grow our network, we are looking for a Data Architect to join our team. 

At ImOn, you will be part of a workplace that values relationships with colleagues, customers, and our community. Our culture is focused on fostering a fun and rewarding work environment where you’ll help our team create connections, one person at a time.

The Data Architect will define data strategy, design, create, manage and maintain data architecture and ensure the seamless integration, storage, security and retrieval of data in alignment with organizational strategy, goals and needs. Develop and implement data models, schemas, and frameworks to support various systems and ERP modules such as finance, supply chain, HR, and customer management. Architect seamless integration between ERP system, other enterprise systems, and external data sources. Collaborate with cross-functional teams, including Customer Care, Strategic Partners, Finance, IT, etc. to address data requirements. Lead data migration efforts during implementations, integrations, upgrades, and transitions. Monitor advancements in ERP and data management technologies to define and implement improvements. Expertise in data modeling, database design, and data management are essential to effectively drive business decisions and growth.

Essential duties and responsibilities include but are not limited to:

Data Architecture:

• Design and Develop: Architect scalable, secure, and robust data systems, ensuring alignment with organizational goals.
• Data Modeling: Create and manage data models that support business needs, including conceptual, logical, and physical models.
• Data Governance: Establish data standards, definitions, and frameworks to ensure consistency and compliance with data privacy regulations.
• Integration: Design strategies for seamless integration of data across diverse sources and systems.
• Technology Evaluation: Assess and recommend database technologies and platforms to meet evolving business needs.

Data Analysis:

• Data Analysis: Analyze large, complex datasets to identify trends, patterns, and insights that drive business decisions.
• Reporting: Develop interactive dashboards, visualizations, and reports to communicate insights effectively.
• Stakeholder Collaboration: Partner with business units to understand requirements and deliver actionable insights.
• KPI Tracking: Monitor and evaluate key performance indicators (KPIs) to ensure business objectives are met.

Data Engineering:

• ETL Pipelines: Develop and maintain robust Extract, Transform, Load (ETL) processes or similar processes to move data across systems efficiently.
• Data Warehouse Management: Build and optimize data warehouses to ensure high performance and reliability.
• Automation: Automate routine data workflows to improve efficiency and accuracy.
• Data Quality: Ensure the integrity, consistency, and accuracy of data through validation and cleansing processes.

Requirements

 We are looking for people with:

• Minimum of 5 years of experience in data architecture, data modeling, or database management
• Proven track record of implementing scalable data solutions and analytics projects
• In-depth understanding of data governance, data security, and compliance requirements
• Strong analytical, problem-solving and critical thinking abilities
• Excellent communication and collaboration skills with the ability to communicate complex technical concepts to non-technical stakeholders
• Detail oriented approach with a focus on quality
• Proven experience with cloud data platforms (such as AWS, Azure, Google Cloud)
• Expertise in database technologies (such as SQL, NoSQL, relational databases, data lakes)
• Expertise in data warehousing and ETL processes
• Expertise with big data technologies (such as Hadoop, Spark, Kafka)
• Expertise with analytical tools (such as Tableau, Power BI, Looker, etc)
• Proficiency in data modeling tools (such as Erwin, IBM InfoSphere)
• Strong SQL and programming skills (such as Python, R, Java, Scala,  or similar languages)
• Familiarity with data integration tools (such as Talend, Informatica, Apache NiFi)

It is a plus if you have:

• Certifications in cloud platforms including: AWS Certified Solutions, Architect, Google Cloud Professional Data Engineer, Microsoft Certified: Azure Data Engineer
• Data Management Certifications including: Certified Data Management Professional, Data Governance & Stewardship Professional
• Experience in designing data architecture for real-time data processing
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Exposure to machine learning and AI technologies in a data architecture context

At ImOn, we'll hook you up. We offer our employees a full benefit package to include:

• A 401k plan with up to a 4% company match.
• Insurance benefits that include multiple health insurance plans to choose from, Dental insurance, free Vision insurance and Life/Disability insurance.
• A robust wellness program that offers annual health screenings as well as fitness incentives.
• Work/Life balance that includes several different types of paid time off such as paid holidays, vacation time, personal time, volunteer time off as well as parental leave and bereavement leave.