E-IT

Azure Data Engineer/architect (Mclean VA - In-person Interview MUST)

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
May 27, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
McLean, VA
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🧠 - 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 end‑to‑end 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