Data Architect

Job Overview: We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The ideal candidate will have deep expertise in designing implementing and maintaining efficient and scalable data architectures with a focus on MDM (Master Data Management) data governance and data quality. This role is crucial for driving the strategic direction of data management systems and ensuring that data solutions meet business needs while maintaining integrity consistency and performance.

Key Responsibilities:

• Data Architecture Design: Lead the design and implementation of robust scalable and highperformance data models in Snowflake. Ensure alignment with business requirements and technology strategies.
• Master Data Management (MDM): Collaborate closely with the MDM team to design and optimize the data architecture ensuring the data hub effectively supports the MDM model and facilitates seamless integration and performance within the MDM hub.
• Data Integration & ETL Pipelines: Design and manage endtoend ETL/ELT pipelines integrating Snowflake with various business and analytical systems such as MDM hub APIs databases and thirdparty services.
• Data Governance & Security: Establish and enforce data governance policies rules and standards ensuring data quality security and compliance with regulations.
• Collaboration: Work closely with business analysts data engineers analysts and data scientists to understand business requirements and translate them into efficient data solutions.
• Data Modeling: Design and optimize enterprise data models schemas and structures to support current and future business reporting and analytics needs.
• Performance Optimization: Monitor and optimize the performance of enterprise data models and transformations for high performance and scalability.
• Resolving & Issue Resolution: Investigate and resolve datarelated issues and inefficiencies in the data pipeline ensuring minimal downtime and disruption to business operations.

Required Skills and Qualifications:

• Education & Experience: Bachelors or Masters degree in Computer Science Data Science Information Systems or a related field. 10 years of experience in the data domain with 5 years of experience showing proficiency as a Data Architect or a similar role.
• Cloud Platforms: Expert level experience with cloudbased data platforms such as Snowflake & Databricks. Demonstrable experience working with cloud platforms such as AWS Azure or GCP and cloud data architectures.
• Good experience with dbt for building and managing data transformation pipelines optimizing workflows and ensuring efficient data processing.
• MDM Process Knowledge: Deep understanding of Master Data Management (MDM) processes including data governance data quality management and the integration of MDM with other systems.
• Good experience in crafting and managing data warehouses data lakes and other storage solutions.
• SQL & Scripting: Advanced knowledge of SQL to manage and manipulate large datasets efficiently. Proficient in scripting languages (e.g. Python Shell) for automation of data workflows. Solid understanding of version control systems like Git Github Bitbucket.
• Data Modeling & Design: Expertise in designing complex data models (dimensional star/snowflake schemas) query optimization and performance tuning.
• Data Integration & ETL Tools: Experience with modern data integration tools such as ADF Fivetran Estuary.
• Collaboration Skills: Ability to work in close collaboration with teams from various functions displaying solid communication and leadership skills.
• Analytical Thinking: Strong problemsolving and analytical skills to find opportunities for data optimization and efficiency.

Preferred Skills:

• Experience with MDM technologies and platforms (e.g. Informatica MDM Profisee and Reltio)
• Familiarity with data visualization tools such as Tableau Power BI or SIGMA.
• Experience with CI/CD pipelines for data engineering.
• Understanding data quality frameworks and standard methodologies.
• Certification in relevant technologies such as Snowflake dbt or Microsoft Azure is a plus.

Why Work Remote
Our remote roles are conveniently located in the comfort of your own home. Working remotely offers numerous advantages including avoiding commuting having a flexible schedule spending more time with family and being more efficient. Byworking remote you will have open communication with your coworkers both onsite and offsite.Our training programs focus on endtoend development from onboarding through senior leadership. Weinvest in our employees to ensure they have the marketplace knowledge skills and competencies tocompete and lead in a global economy.

Our compensation philosophy is simple: we pay a competitivebase salary within the local market in which we operate and reward performance during the annual meritreview process. In accordance with Colorado EPEWA The salary range for this role is $130000.00 $170000.00 annually commensurate with the skills talent capabilities and experience each candidatebrings to a role. Our success is measured by the positive impact we make on peopleour communities and the world in which we live.