

Senior Database Architect (Contract) (Remote)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Database Architect (Contract) position, remote, for 6 months, offering a pay rate of "X". Key skills include Azure Data Lake, ETL design, and compliance knowledge (HIPAA, CCPA). Requires 7+ years in data architecture, healthcare data experience preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Storage #Strategy #Cloud #Schema Design #Azure #Data Lineage #Data Lake #Documentation #Azure SQL #ADLS (Azure Data Lake Storage) #Data Integration #AI (Artificial Intelligence) #Azure cloud #"ETL (Extract #Transform #Load)" #Scripting #Security #Data Security #Data Warehouse #Python #Azure Data Factory #Automation #Data Engineering #Computer Science #Microsoft Azure #ADF (Azure Data Factory) #Data Management #Data Quality #Scala #SQL (Structured Query Language) #Data Modeling #Data Ingestion #Compliance #Azure ADLS (Azure Data Lake Storage) #Data Architecture #Disaster Recovery #Synapse #Data Stewardship #Data Lifecycle #Database Design #Metadata
Role description
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Job Summary:
Indigenous Pact PBC, Inc. is a certified B-Corporation focused on creating health equity for American Indians and Alaskan Natives. As a Database Architect, you will lead the design and implementation of the enterprise data architecture and Azure Data Lake environment, ensuring secure and high-performing data integration across healthcare and Tribal systems.
Responsibilities:
β’ Lead architecture of Indigenous Pactβs Azure Data Lake Storage Gen2, including partitioning strategy and data zone design (raw, refined, curated, sandbox).
β’ Define data ingestion, transformation, and storage patterns, and other efficient data formats.
β’ Develop and enforce data modeling standards, naming conventions, and metadata management strategies.
β’ Collaborate with cross-functional stakeholders to identify, prioritize, and classify data entities for inclusion in the data lake.
β’ Analyze existing data sources, APIs, and reporting tools to map data lineage, quality issues, and integration patterns.
β’ Design scalable Azure Data Factory (ADF) pipelines, CDC strategies, and scheduling/orchestration workflows.
β’ Define and document technical architecture, ETL specifications, capacity plans, and network/data security requirements.
β’ Establish governance frameworks including data stewardship models, privacy and compliance controls (HIPAA, CCPA), and data quality standards.
β’ Develop and manage strategies for data lifecycle, archiving, disaster recovery, and performance optimization.
β’ Guide implementation of data dictionaries, business glossaries, and audit/compliance tracking systems.
β’ Participate in stakeholder validation sessions, technical feasibility reviews, and trial data loads.
β’ Support implementation teams (DBAs and developers) in deploying data systems into production environments.
Qualifications:
Required:
β’ Strong expertise in Microsoft Azure cloud data services: Azure Data Lake Storage Gen2, Azure Synapse, Azure SQL, Azure Data Factory.
β’ Experience designing data lake architectures, data zones, and cloud-native ETL pipelines.
β’ Proficiency in data modeling, schema design, and governance standards (e.g., master data, metadata).
β’ Familiarity with compliance frameworks (HIPAA, CCPA) and best practices in data security and auditing.
β’ Ability to analyze complex integration scenarios, APIs, and legacy data structures.
β’ Excellent written documentation and verbal communication skills for stakeholder engagement.
β’ Scripting proficiency using PowerShell, Python, or similar automation tools.
β’ Bachelorβs degree in Computer Science, Information Systems, or a related field (or equivalent experience).
β’ 7+ years of progressive experience in data architecture or enterprise database design.
β’ Hands-on experience with large-scale data environments and healthcare data preferred.
β’ Experience implementing data lakes, data warehouses, or cloud-first data platforms in Azure.
Preferred:
β’ Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert).
Company:
Our mission is to help create health equity for American Indian and Alaska Natives in one generation. Founded in 2017, the company is headquartered in Oneida, Wisconsin, USA, with a team of 51-200 employees. The company is currently Growth Stage.