Azure Data Architect

Job

Lorven Technologies, Inc.

Remote

Full-Time

Posted 6 days ago (Updated 4 days ago) • Actively hiring

Expires 6/23/2026

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Job Description

Our client is looking for a Azure Data Architect at McLean

VA 22102

(Hybrid) Kindly share your updated resume to proceed further.

Job Title:

Azure Data Architect Location:

McLean

VA 22102

(Hybrid)

Duration:

Long Term Contract Note:

Final Level Interview will be an In-Person interview at McLean

VA 22102

(Hybrid) Mandatory skills:

Data Architect, ETL, SSIS/SSRS, SQL, Azure Job Description:

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. Looking forward for your reply.