

E-IT
Azure Data Engineer/architect (Mclean VA - In-person Interview MUST)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer/Architect in McLean, VA, with a contract length of unspecified duration and a pay rate of "unknown." Key skills include Azure technologies, ETL, SQL, and healthcare experience preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
May 27, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
McLean, VA
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π§ - Skills detailed
#Data Architecture #Microsoft Power BI #Databricks #Informatica #Storage #Agile #SSRS (SQL Server Reporting Services) #Security #Data Modeling #SQL (Structured Query Language) #Data Security #Python #Synapse #DevOps #Azure #"ETL (Extract #Transform #Load)" #Azure SQL #ADLS (Azure Data Lake Storage) #AI (Artificial Intelligence) #DataOps #Compliance #ADF (Azure Data Factory) #Scala #Monitoring #SSIS (SQL Server Integration Services) #BI (Business Intelligence) #Data Science #Snowflake #Automation #Azure Data Factory #Data Engineering #ML (Machine Learning)
Role description
Role: Azure Data Architect/Engineer
Location: McLean VA 22102 (100% Onsite)
Contract
Skills: Data Architect, ETL, SSIS/SSRS, SQL, Azure
Role Summary: Data Architect /Engineer responsible for defining and governing Azure-based data architecture, supporting ETL modernization, analytics, and reporting, while working closely with Data Engineering, BI, and Data Science teams.
Key Responsibilities
β’ Collaborate with Solution & Enterprise Architects to translate business requirements into scalable data architecture designs.
β’ Define endβtoβend data architecture across ingestion, storage, processing, analytics, and reporting.
β’ Provide architectural oversight for ETL/ELT solutions using Azure Data Factory, Databricks, Informatica, SSIS.
β’ Guide ETL automation, monitoring, and DevOps/DataOps best practices (implementation by engineers).
β’ Define and govern analytics & reporting architecture using Power BI, SSRS, and enterprise data models.
β’ Ensure data security, governance, and PHI compliance across platforms.
β’ Partner with Analytics, Reporting, Data Science, and ML teams to enable downstream use cases.
β’ Participate in Agile delivery and provide architecture input during planning and design phases.
Required Skills
β’ 12+ years in data engineering / data platform roles with architecture responsibility
β’ Strong experience with Azure data technologies (ADF, ADLS, Synapse, Azure SQL)
β’ Solid understanding of ETL/ELT, data modeling, and data warehousing
β’ Experience with Power BI, exposure to SSIS / SSRS
β’ Proficiency in SQL and architectural familiarity with Python
β’ Healthcare (Payer / Provider) experience preferred
Nice to Have
β’ Exposure to AI/ML enablement (data preparation, ML-ready architectures)
β’ Snowflake or lakehouse architecture experience
Role: Azure Data Architect/Engineer
Location: McLean VA 22102 (100% Onsite)
Contract
Skills: Data Architect, ETL, SSIS/SSRS, SQL, Azure
Role Summary: Data Architect /Engineer responsible for defining and governing Azure-based data architecture, supporting ETL modernization, analytics, and reporting, while working closely with Data Engineering, BI, and Data Science teams.
Key Responsibilities
β’ Collaborate with Solution & Enterprise Architects to translate business requirements into scalable data architecture designs.
β’ Define endβtoβend data architecture across ingestion, storage, processing, analytics, and reporting.
β’ Provide architectural oversight for ETL/ELT solutions using Azure Data Factory, Databricks, Informatica, SSIS.
β’ Guide ETL automation, monitoring, and DevOps/DataOps best practices (implementation by engineers).
β’ Define and govern analytics & reporting architecture using Power BI, SSRS, and enterprise data models.
β’ Ensure data security, governance, and PHI compliance across platforms.
β’ Partner with Analytics, Reporting, Data Science, and ML teams to enable downstream use cases.
β’ Participate in Agile delivery and provide architecture input during planning and design phases.
Required Skills
β’ 12+ years in data engineering / data platform roles with architecture responsibility
β’ Strong experience with Azure data technologies (ADF, ADLS, Synapse, Azure SQL)
β’ Solid understanding of ETL/ELT, data modeling, and data warehousing
β’ Experience with Power BI, exposure to SSIS / SSRS
β’ Proficiency in SQL and architectural familiarity with Python
β’ Healthcare (Payer / Provider) experience preferred
Nice to Have
β’ Exposure to AI/ML enablement (data preparation, ML-ready architectures)
β’ Snowflake or lakehouse architecture experience






