Demo

Senior Data Solutions Architect

Elegant Enterprise-Wide Solutions
Montpelier, VT Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 5/28/2025

We are seeking candidates with over 10 years of experience for this critical role.

  • Certification(s) that confirm the candidate meets the qualifications and possesses the required credentials to perform the necessary tasks.

SKILLS / EXPERTISE REQUIREMENTS :

The ideal candidate should possess the following knowledge :

A minimum of 10 years in roles such as Data Scientist, Data Architect, or similar, with proven experience in both data design / implementation and data analysis.

In-depth expertise in various data models / structures, including hierarchical, relational, object-oriented, structured, and unstructured data.

Strong proficiency with various DBMS and RDBMS systems, such as IBM's IMS, SAG's ADABAS, MS SQL, Oracle, DB2 / UDB, MariaDB, PostgreSQL, MongoDB, and more.

Ability to work independently and deliver strategic guidance across data-related initiatives.

In-depth knowledge of data ingestion, modeling, mastery, and management techniques.

Expert in ETL tools / utilities, with experience in designing and modeling data staging and loading schemas.

Proven track record of utilizing Data Quality tools while documenting, prioritizing, and resolving data quality issues effectively.

Demonstrated experience with MDM solutions for creating correlated or interleaved data.

Hands-on expertise in developing data models, particularly within the healthcare sector.

Strong ability to navigate complex projects with multiple stakeholders and cross-functional teams.

Excellent organizational leadership and communication skills.

Experience in creating executive-level presentations.

Preferred Certifications :

  • Certified Data Management Professional (CDMP)
  • Master Data Management Certification (MDM)
  • Certified in Data Protection (CDP)
  • Certified Public Sector Data Governance Professional (PSDGP)
  • Certified Analytics Professional (CAP)
  • AWS Certified Data Analytics Specialty
  • Education Requirements :

    Bachelor's and / or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Modern Applied Sciences, or IT Technology Management.

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