Data Architect

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.

All your information will be kept confidential according to EEO guidelines.