M-88022 - Data Architect LU 420 - Madison, United States - Focused HR Solutions

Focused HR Solutions Madison, United States

3 weeks ago

Remote job Full time

Description

PLEASE SEND RATES AND RESUME TO -SOLUTIONS.COM

This position can be remote and coming into the office in Madison, WI as needed, hybrid or fully in office. The contractor does not need to live in Madison area but may need to come into office at times. Our direct client has an opening for a Data Architect position # This position is for 12+ months, with option of extension, and is located in Madison, WI. If you are interested, please submit the following:

Your current resume.
Your hourly rate.

Below is the job description – Resumes due ASAP.
Top Skills & Years of Experience:

Data architecture – 5 years.
Data modeling for a data lake or data warehouse - 5 years.
IT professional experience - 10 years.
Data integration - 5 years.
Data analysis - 5 years.
Advanced SQL - 5 years.
Relational databases - 5 years.
Data standards awareness - 5 years.
Effective documentation of data architecture - 5 years.

General Skills & Years of Experience:

Requirements gathering - 5 years.
SDLC - 5 years.
Effective communication and interpersonal skills - 5 years.
Leadership - 5 years.
Effective presentations - 2 years.
Meeting facilitation - 2 years.
Problem-solving - 2 years.

Preferred Skills:

ETL.
Programming experience.
Integration platform experience.

Job Description:

This position is responsible for providing leadership in data architecture for a multi-year, multi-phase modernization effort.
This includes a "best of breed" implementation with different vendor solutions including enterprise content management (ECM), health insurance, pension, and other benefits systems.
The data architecture system components include database management systems (both internal and external), master data management, an integration platform (MuleSoft), and a data lake platform.
This position will also contribute toward data governance, data literacy and data quality improvements.

Key Job Responsibilities:

Define ETF's future data architecture, including how data flows between systems, how it is used by different areas of the agency, and challenges.
Work with key business partners, data stewards, technical staff, and vendors to understand what data will be collected by new systems and provide recommendations on how the data will flow through systems with consideration for a phased implementation and ETF's desired future state.
Analyze business requirements and convert into technical data requirements.
Perform analysis of systems and data to incorporate into recommendations.
Collaborate with agency staff to define standards, policies, and procedures to improve the management of data throughout its lifecycle with an emphasis on improvements to data quality.
Participate in gathering requirements, planning, and implementation of a master data management system (Semarchy) and related data governance improvements.
Articulate the trade-offs, benefits and risks of all architecture and design solutions.
Develop regular progress reports for management to communicate status on data architecture efforts.
Contribute to an overall agency data strategy.
Participate in the requirements gathering, selection and implementation of a metadata management solution.
Assist with data modeling for the data lake platform as needed.
Create and maintain data architecture documentation (e.g. data flows, architectural diagrams, etc.).
Define, communicate, and document relevant data standards to apply to ETF systems.
Contribute to data literacy efforts to help ETF become a data-driven organization.

Knowledge, Skills, Abilities, & Experience:

Experience with complex technology systems implementations which include data solutions using APIs and integrating data access layers across systems.
Experience working with integration platforms such as MuleSoft or comparable.
Ability to shape and execute data strategy across the organization with a focus on quality and urgency.
Experience in systems development life cycle, IT project management approaches, and requirements, design, and test techniques.
Direct and proven working experience with data management concepts and activities including an understanding of industry best practices for data sourcing, master data management, data quality, metadata management.
Understanding of data and database architecture principles and database management systems.
Experience with data issue identification, analysis, and remediation.
Capable of translating business needs into technical specifications.
Experience with data modeling and database design in a data warehouse or data lake environment.
Strong understanding of data modeling tools and standards, ETL tools, data integration tools, advanced SQL, and data governance tools.
Experience with ETL development preferred but not required.
Experience with assisting the development of mature data governance capabilities, including standardized data vocabularies and related capabilities (business glossaries, data dictionaries, etc.).
Knowledge of best practices for data architecture principles, standards, guidelines and concepts.
Experience with cloud-based data solutions using new or emerging technologies.
Ability to effectively document data architecture to make it meaningful to a wide audience.
Strong customer service skills which includes an in-depth understanding of customer business processes and needs.
Demonstrated interpersonal and communication skills with the ability to influence others and to interact with individuals at all levels.
Demonstrated ability to develop and deliver presentations to both technical and non-technical audiences.
Communicates effectively (both written and oral) to all staff levels and can deliver difficult/sensitive information tactfully.
Ability to lead effective meetings that are tailored to the audience.
Ability to work productively with cross-functional working groups and across organizational layers.
Ability to work both independently and collaboratively with all project stakeholders including business users, architects, project managers, business analysts, data stewards, developers, test analysts, and production support team.
Holistic and proactive approach towards change, process improvement, and execution of job responsibilities
Ability to manage multiple, sometimes competing, demands and meet deadlines.
Self-motivated with a proven track record in leading data architecture and delivery of enterprise data platforms
Proven ability to coach and mentor others.
A minimum of 10 years of industry experience with IT and information management.
A minimum 5 years as a data architect or an architect leading complex technology solutions.
Bachelor's Degree in information technology, or equivalent required.
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