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HBITS--Database Architect-Expert

Job in City of Albany, Albany, Albany County, New York, 12201, USA
Listing for: Knowledge Builders Inc
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Database Administrator, Data Engineering, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: HBITS-08-14879-Database Architect-Expert
Location: City of Albany

Overview

Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). The NYWIC (New York Women, Infants, and Children) system is a statewide application that supports the administration of New York’s WIC nutrition program, which provides nutritional assistance and health services to eligible women, infants, and children. The Division of Nutrition relies on custom applications to support the delivery of these programs.

The NYWIC MIS-EBT project provides a .NET/Oracle-based platform that enables efficient program operations and ongoing enhancements to meet evolving business needs. Within this environment, the Data Mart team is responsible for the design, development, and ongoing maintenance of the enterprise data warehouse and reporting layer supporting the NYWIC application. The team includes Business Analysts, Data Modelers, Informatica Developers, and OBIEE Developers who work collaboratively to deliver and sustain data solutions.

The team continuously implements enhancements and updates to the Data Mart as the core application evolves, ensuring accurate, reliable, and timely reporting for business users, program administrators, and regulatory stakeholders.

Responsibilities
  • Perform data analysis of current and future WIC systems, including system comparison, to support ongoing and future data needs.
  • Collaborate with customers, vendors, and technical teams to gather requirements, perform gap analysis, and prioritize reporting needs.
  • Design and maintain enterprise data architecture, including conceptual, logical, and physical data models, while performing ongoing data modeling and schema design.
  • Define and enforce data standards, naming conventions, governance practices, and ensure data quality, integrity, and consistency across all environments.
  • Develop and maintain documentation of business processes, workflows, and data flows using modeling techniques and flowcharts.
  • Develop, review, and optimize ETL processes and mappings for data migration, improving performance and efficiency.
  • Design and support reporting solutions, including dashboards and prototypes, aligned with end-user requirements.
  • Develop and execute test plans, scripts, and validation scenarios to ensure data accuracy and compliance with business requirements.
  • Monitor and optimize database performance through query tuning, indexing, partitioning, and overall system optimization.
  • Implement and maintain database security, access controls, auditing, and compliance with organizational and state data privacy requirements.
  • Evaluate implementation strategies, identify risks and issues, and support resolution and mitigation planning.
  • Provide technical guidance, conduct design reviews, mentor team members, and support release planning and post-implementation reviews.
  • Facilitate and document meetings, support reporting development discussions, and ensure proper tracking of outcomes.
Administrative tasks

Perform administrative duties including attendance at meetings and completion of NYS LATS timecard and monthly timesheets.

Mandatory Qualifications

Database Architect – Determines database structural requirements by analyzing client operations, applications, and programming; reviews objectives with clients; evaluates current systems; provides database support by coding utilities, responding to user questions, and resolving problems.

Expert 84+ months:
Candidate is able to provide guidance to large teams and/or has extensive industry experience and is considered at the top of his/her field.

Requested Qualifications
  • 84 Months Experience developing and maintaining logical and physical dimensional data models, including star schema, snowflake schema, and data migration strategies in enterprise data warehouse and business intelligence environments.
  • 84 Months Experience using data modeling tools (e.g., Erwin) for data model design, documentation, and review to ensure compliance with enterprise data standards and development best practices.
  • 84 Months Experience in relational data management, database design, and development using Oracle technologies, including advanced SQL programming for data analysis, optimization, and reporting in data warehouse…
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