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.
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.
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