Senior Data Architect

Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

This range is provided by Lifescale Analytics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Direct message the job poster from Lifescale Analytics

At Lifescale Analytics, we help achieve data-driven decisions by leveraging strategic technologies to create innovative solutions that ultimately help our clients to navigate their ever-changing data landscape. We have an opportunity for a Senior Data Architect candidate.

Location: Candidate must be able to work full-time onsite in Tallahassee, FL, telecommuting is prohibited.

Note: Relocation expenses are not covered by the employer/client.

Note:

Relocation expenses are not covered by the employer/client.

Applicants responding to this position must be a US Citizen or Greencard Holder and will be subject to a background check and drug screen.

The Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B, EAD or OPT visas. Corp-to-Corp or subcontract personnel will not be considered for this position.

• Analyze and verify existing data models and interfaces to assess impacts and identify potential disruptions due to the implementation of a modernized data model.
• Design and implement comprehensive data models to ensure compatibility with business processes and reporting needs.
• Review and enhance ETL processes to improve data quality, timeliness, and accuracy, and implement robust data quality measures to maintain high standards of production data.
• Collaborate with development teams to deploy revised data models, verifying successful implementation and resolving any integration issues.
• Provide expert guidance on data visualization and reporting, establishing best practices to optimize business insights, and monitor dependencies with interfacing systems to propose remediation where necessary.
• Act as a liaison between technical teams, business stakeholders, OOT, and OIT to ensure clear communication regarding data architecture changes and project timelines.
• Mentor and provide technical leadership to team members, guiding them on best practices in data integration, architecture, and quality management.
• Ensure continuous improvement in data processes by defining roadmaps, standardizing methodologies, and collaborating on strategic initiatives.
• Evaluate and align current data systems with the state’s cloud-first initiative, ensuring data models are scalable and compatible with cloud architecture.

• A minimum of 7 years of experience with large and complex database management systems.
• A minimum of 7 years of experience as a data architect or senior data analyst, with extensive experience in designing, implementing, and maintaining data models and ETL processes.
• 10+ years of broad experience working with database management systems (such as Oracle, SQL Server, or DB2) and data integration tools.
• Strong background in financial data systems, including data modeling, data governance, and data quality management.
• Proven experience with ETL tools, data warehousing, and automation of data processes to ensure accuracy, timeliness, and completeness of data.
• Experience in data visualization and reporting best practices, with familiarity with tools like Power BI, Tableau, or similar platforms.
• Familiarity with cloud-based data integration solutions, such as Azure or Snowflake.

• Experience with DB2 systems.
• Experience with Informatica or other modern data integration platforms.
• Strong analytical skills and the ability to translate business requirements into technical specifications.
• Excellent communication and collaboration skills, capable of working effectively with technical and non-technical stakeholders.

The submitted candidate must be able to apply Knowledge, Skills, and Abilities in the following areas:

• Familiarity with financial management Work Program Application (WPA), RCI LRS, RCI/TCI, and Pavement Systems
• In-depth understanding of data…