Data Architect

vTech Solution, Inc.; Columbus (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology solutions provider in Columbus, Ohio, is seeking a skilled data architect to drive the design of an Enterprise Data Warehouse. The ideal candidate will have expertise in data architecture, modeling data for modern systems, and implementing ETL processes. Responsibilities include creating data mapping for analytics, ensuring data quality, and working closely with leadership to enhance the data technology platform. This role offers a 12+ month contract with a strong possibility for extension.

Qualifications

• 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.

Responsibilities

• Drive technical architecture design for an Enterprise Data Warehouse.
• Design architectures and model data for the data warehouse.
• Create data mapping and transformation rules for reports/analytics.

Skills

Data architecture concepts

Data modeling for dimensional and big data platforms

ETL best practices

Modeling data for modern systems

Data modeling techniques (Star, Snowflake)

Analyzing structured & unstructured data

Reporting/analysis/analytics tools (SSRS, Power BI, etc.)

Resolving data anomalies

Integration tools (DTS, SSIS, Data Stage)

SQL queries

Job description

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.