Arkhya Tech

Azure Data Architect

Arkhya TechContract
Virginia
15 - 16 YearsMar 6th, 2026
22 ViewsBe an Early Applicant
Required Skillset:
PythonAzureAzure Data FactoryDatabricksAzure Synapse AnalyticsInformaticaData ArchitectSQLPower BIAzure SQLETLSSISSSRSAzure Data Lake Storage (ADLS)Healthcare (Payer/Provider)

Job Description

Role: Azure Data Architect

Location: McLean VA (Hybrid 3 days/week)

Contract


 

Skills: Data Architect, ETL, SSIS/SSRS, SQL, Azure

Role Summary: Data Architect 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

  • Collaborate with Solution & Enterprise Architects to translate business requirements into scalable data architecture designs.
  • Define end‑to‑end data architecture across ingestion, storage, processing, analytics, and reporting.
  • Provide architectural oversight for ETL/ELT solutions using Azure Data Factory, Databricks, Informatica, SSIS.
  • Guide ETL automation, monitoring, and DevOps/DataOps best practices (implementation by engineers).
  • Define and govern analytics & reporting architecture using Power BI, SSRS, and enterprise data models.
  • Ensure data security, governance, and PHI compliance across platforms.
  • Partner with Analytics, Reporting, Data Science, and ML teams to enable downstream use cases.
  • Participate in Agile delivery and provide architecture input during planning and design phases.


 

Required Skills

  • 12+ years in data engineering / data platform roles with architecture responsibility
  • Strong experience with Azure data technologies (ADF, ADLS, Synapse, Azure SQL)
  • Solid understanding of ETL/ELT, data modeling, and data warehousing
  • Experience with Power BI, exposure to SSIS / SSRS
  • Proficiency in SQL and architectural familiarity with Python
  • Healthcare (Payer / Provider) experience preferred

Nice to Have

  • Exposure to AI/ML enablement (data preparation, ML-ready architectures)
  • Snowflake or lakehouse architecture experience


 

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