Arkhya Tech. Inc.
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in Maclean, VA, on a contract basis with a pay rate of "unknown." Candidates must have expertise in Azure migration, ETL/ELT, and programming in Python. Experience with data platforms and cloud migration is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
McLean, VA
-
🧠 - Skills detailed
#Synapse #Azure Data Factory #Data Pipeline #Microsoft Power BI #Data Migration #GIT #Spark SQL #Version Control #AI (Artificial Intelligence) #ML (Machine Learning) #Databricks #SSIS (SQL Server Integration Services) #Databases #Compliance #Informatica #Data Lake #Batch #Migration #Programming #IICS (Informatica Intelligent Cloud Services) #Informatica PowerCenter #Azure #Azure DevOps #ADF (Azure Data Factory) #Microsoft Azure #SQL Server #Data Quality #Oracle #Snowflake #Data Engineering #Spark (Apache Spark) #Python #Azure SQL #SQL (Structured Query Language) #Security #Data Ingestion #PySpark #Scala #Cloud #DevOps #Data Modeling #Data Integration #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #Azure Databricks
Role description
Role : Lead Data Engineer
Location : Maclean VA (100% Onsite)
Contract
NOTE : NO GC
Data Platform, Cloud Migration, ETL/ELT
Secondary : AI/ML, Python
Role Summary
Lead Data Engineer responsible for designing, migrating, and optimizing enterprise-scale data platforms on Microsoft Azure, with strong hands-on ownership of ETL/ELT pipelines, cloud data warehousing, and data integration across heterogeneous sources.
Key Responsibilities
Lead data migration initiatives to Azure, including on prem to cloud and legacy ETL modernization.
Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark), and Informatica (PowerCenter / IICS).
Implement end to end data ingestion, transformation, and loading into Azure Data Lake Gen2, Azure SQL, Azure Synapse, and Snowflake.
Migrate and refactor existing ETL workflows (Informatica / SSIS) to cloud native Azure architectures.
Optimize data pipelines for performance, reliability, and cost efficiency.
Ensure data quality, governance, security, and compliance during migration and ongoing operations.
Collaborate with architects, business stakeholders, and downstream analytics teams.
Required Skills
Azure Migration: Hands on experience with Azure Data Lake (Gen1/Gen2), Azure Data Factory, Azure Databricks, Azure Synapse, Azure SQL
ETL/ELT: Strong expertise in Informatica PowerCenter, Informatica IICS, ETL design, CDC, SCDs, and batch/stream processing
Programming: Python, PySpark, SQL, PL/SQL
Databases & Warehousing: Oracle, SQL Server,
Cloud DevOps: Azure DevOps CI/CD pipelines, Git-based version control
Data Modeling: Star schemas, dimensional modeling
Nice to Have
AI/ML experience
Power BI / semantic modelling exposure
Role : Lead Data Engineer
Location : Maclean VA (100% Onsite)
Contract
NOTE : NO GC
Data Platform, Cloud Migration, ETL/ELT
Secondary : AI/ML, Python
Role Summary
Lead Data Engineer responsible for designing, migrating, and optimizing enterprise-scale data platforms on Microsoft Azure, with strong hands-on ownership of ETL/ELT pipelines, cloud data warehousing, and data integration across heterogeneous sources.
Key Responsibilities
Lead data migration initiatives to Azure, including on prem to cloud and legacy ETL modernization.
Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark), and Informatica (PowerCenter / IICS).
Implement end to end data ingestion, transformation, and loading into Azure Data Lake Gen2, Azure SQL, Azure Synapse, and Snowflake.
Migrate and refactor existing ETL workflows (Informatica / SSIS) to cloud native Azure architectures.
Optimize data pipelines for performance, reliability, and cost efficiency.
Ensure data quality, governance, security, and compliance during migration and ongoing operations.
Collaborate with architects, business stakeholders, and downstream analytics teams.
Required Skills
Azure Migration: Hands on experience with Azure Data Lake (Gen1/Gen2), Azure Data Factory, Azure Databricks, Azure Synapse, Azure SQL
ETL/ELT: Strong expertise in Informatica PowerCenter, Informatica IICS, ETL design, CDC, SCDs, and batch/stream processing
Programming: Python, PySpark, SQL, PL/SQL
Databases & Warehousing: Oracle, SQL Server,
Cloud DevOps: Azure DevOps CI/CD pipelines, Git-based version control
Data Modeling: Star schemas, dimensional modeling
Nice to Have
AI/ML experience
Power BI / semantic modelling exposure
