Database Architect - DA 25-34415

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
No Travel Required

Skills

Solution Architecture
Storage
Thought Leadership
Relational Databases
SQL
Snow Flake Schema
Migration
Modeling
Machine Learning (ML)
Meta-data Management
Microsoft Azure
IaaS
Real-time
Recovery
Regulatory Compliance
Software Development Methodology
Good Clinical Practice
Google Cloud
Google Cloud Platform
Emerging Technologies
Data Retention
Data Warehouse
Interfaces
Extract
Transform
Load
Facilitation
Database
Database Administration
Decision-making
Communication
Leadership
Management
Enterprise Architecture
Health Care
Data Acquisition
Data Architecture
Data Integration
Data Modeling
HL7
Big Data
Business Intelligence
Cisco Certifications
Cloud Computing
Collaboration
Accessibility
Advanced Analytics
Amazon Web Services
Analytics
Artificial Intelligence
Information Management
Java
Python

Job Details

Job Title: Database Architect 3

Location: Austin, TX
Duration: 8 Months
Work Arrangement: Hybrid (2 days remote / 3 days onsite Monday, Wednesday, Thursday)
Position Overview

The Database Architect 3 / Senior Data Architect & Analytics Lead will play a critical role in designing, implementing, and optimizing enterprise-level data architecture and analytics solutions. This role requires deep expertise in relational databases, data warehousing, cloud platforms, and advanced analytics to support strategic decision-making and enterprise data initiatives.

The ideal candidate will collaborate with cross-functional technical and business teams to design scalable, secure, and high-performing data solutions while ensuring compliance with enterprise data standards and accessibility requirements.

Key Responsibilities

  • Design, develop, and maintain relational databases, data warehouses, and multidimensional databases

  • Define strategies for data acquisition, archival, recovery, and implementation

  • Clean and maintain databases by managing data retention and removing obsolete data

  • Develop enterprise data standards to optimize organizational strategic goals

  • Create and maintain centralized metadata repositories and data registries

  • Design and implement robust data models and table structures to support analytics initiatives

  • Utilize advanced analytics tools and techniques to deliver actionable insights

  • Ensure all database administration interfaces, reports, and user-facing components comply with EIR accessibility standards and assistive technologies

  • Lead and manage advanced analytics projects from design through implementation

  • Collaborate with data engineers, developers, analysts, and stakeholders to ensure seamless data accessibility and usability

  • Evaluate and integrate emerging technologies including AI, machine learning, and big data analytics

  • Provide thought leadership on data architecture, modeling, and governance best practices

  • Communicate complex technical concepts effectively to non-technical audiences

Required Skills & Experience

  • 10+ years of experience in data architecture, data modeling, and data warehousing (on-prem and cloud)

  • 10+ years of experience with business intelligence and big data solutions

  • 10+ years of experience leading and managing advanced analytics projects

  • 10+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud Platform

  • 10+ years of experience developing, deploying, and managing cloud-based applications and data storage

  • Strong expertise in enterprise data architecture principles and best practices

  • Advanced proficiency in SQL and database technologies

  • Experience with advanced analytics tools, frameworks, and strategies

  • Strong verbal and written communication skills with the ability to translate technical concepts to non-technical stakeholders

  • Proven ability to lead teams and manage complex, multi-stream projects

  • Experience with cloud infrastructure management, including security, deployment, and storage best practices

  • Experience developing and maintaining enterprise data models, data warehouses, and data lakes

  • Experience with ETL tools, data integration platforms, and APIs

  • Experience architecting and designing ETL pipelines using Informatica

  • Experience designing cloud-based data architecture using Snowflake as the primary data platform

  • Experience with EHR integration, APIs, and real-time data streaming

  • Familiarity with healthcare data standards such as FHIR, CCDA, and HL7

Preferred Qualifications

  • Experience implementing and deploying big data applications

  • Hands-on expertise with Python and/or Java/Scala

  • Experience with Enterprise Architecture practices and hybrid cloud/on-prem-to-cloud migration strategies

  • Healthcare industry experience

  • Strong understanding of information management principles, SDLC, and enterprise IT processes

  • Consulting and facilitation skills

  • Strong customer-focused communication across all organizational levels

  • Proactive leadership style with strong attention to detail

  • TOGAF or Cloud Solution Architecture certification (Azure, AWS, or Google Cloud Platform)

  • Experience with Texas or other state eligibility systems

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.