Data Architect

Job Description

Position Details:

Job Title: Data Architect

Location: Columbus, OH 43215 Duration: 12+ months (Strong possibility for an extension)

Requirement Description:

Ohio Facilities Construction Commission is looking for someone to Drive the technical architecture design in creating an Enterprise Data Warehouse for the Commission.

Roles & Responsibilities:

· Data-related technologies, design architectures, and model data in a manner that is efficient, scalable, and supportable for a data warehouse. · Creating a tiered enterprise data management architecture using a combination of relational, dimensional and flat data models, depending on business context, type of data and use cases · With the given data sources available, create the necessary data mapping and transformation rules and assist the technical team in staging the data for advanced reports/analytics & other needs. · Maintain cross referenced metadata on data sources, interfaces and systems of record and systems of reference if needed. · Ensure data quality rules are enforced and identify appropriate mechanisms to execute and update results of data quality checks. · Recommend and bring data management best practices to stitch together disparate data and analytics requirements and reporting needs for the organization · Work with leadership to influence the direction of our data technology platform. · Establish & document database process that currently extracts the data from the existing system for reporting purposes. · Help set the development of policies, standards and guidelines that direct the selection, development, implementation and use of Data/ETL/BI solutions within the enterprise. · Prepare and present report on analyses, findings and project progress to management.

Mandatory Requirements/Time:

· Expert in data architecture concepts that support an Enterprise Data Warehouse · Advanced proficiency in data modeling for dimensional and big data platforms · Expert in ETL best practices and experience in designing and implementing ETLs and data migrations · Strong skills in modeling data for modern systems and distributed application architectures · Expertise with data modeling techniques (i.e., Star, Snowflake, etc.) as well as data warehousing & data mart principles and methodologies. · Experience in analyzing structured & unstructured data in relational, NoSQL, non-relational data stores · Experience with reporting/analysis/analytics tools such as SSRS, Power BI, Micro Strategy, Tableau, etc. · In-depth experience modeling data requirements based on complex business needs across multiple information domains. · Experience with resolving data anomalies and conducting data integration analysis · Hands on experience with integration tools (DTS, SSIS, Data Stage, etc.) · Experience working in an agile or continuous improvement environment · Specific experience in metadata and master data management · Writing, troubleshooting and optimizing SQL queries. Additional Information All your information will be kept confidential according to EEO guidelines.