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Technical Lead – Cloud Data Engineering - Remote

Washington, DC, US • Posted 15 hours ago • Updated 15 hours ago

Contract W2

Contract Corp To Corp

Occasional Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

Cloud Data
ETL
Azure

Summary

Job Title: Technical Lead – Cloud Data Engineering

Location: REMOTE (With potential quarterly travel to Washington, D.C.)

Duration: 6 Months (Contract)

Pay Rate: $79.00/hr on W2

Clearance: Public Trust (ship Required)

Job Summary

We are seeking a customer-focused Technical Lead – Cloud Data Engineering to lead a team of developers in designing and implementing enterprise-scale data engineering solutions. In this role, you will work directly with business users to translate requirements into cloud-native solutions, while driving the migration of a legacy Enterprise Data Warehouse (EDW) to a modernized Microsoft Azure Cloud Data Lake platform (Medallion architecture).

Key Responsibilities

Team Leadership: Lead a team of data engineers to develop Azure Data Lake-based ETL/ELT pipelines, data extracts, and API-based data delivery.
Cloud Migration & Modernization: Drive the migration of legacy EDW workloads to Azure. Support design and implementation of relational, dimensional, Data Lakehouse, and NoSQL data stores.
Legacy EDW Operations: Ensure continued development and maintenance of legacy platforms using SQL Server, SSIS, SSRS, SSAS, and PowerShell.
Performance Testing & Optimization: Define ETL performance testing scope, benchmark workloads against legacy baselines, validate SLA compliance, and tune throughput using Spark UI, Azure Monitor, and Log Analytics.
Advanced Analytics & AI Support: Utilize Azure OpenAI, Azure Data Factory, Synapse Pipelines, and Apache Spark/Python to prepare data for advanced analytics, ML models, and interactive reporting.
Data Governance & DevOps: Implement data quality, security, metadata management, and audit capturing. Actively participate in Agile/DevOps processes, including Program Increment (PI) planning.

Required Qualifications

Experience: Bachelor’s degree in Computer Science (or related field) with 9+ years of total IT experience.
Team Leadership: 5+ years leading teams supporting enterprise data warehousing within Microsoft environments.
Client Engagement: 5+ years of direct client-facing experience capturing requirements and delivering dashboards, reports, and data solutions.
ETL Performance Testing: 5+ years of heavy experience benchmarking and optimizing traditional EDW and cloud data platforms using tools like JMeter, Azure Monitor, Log Analytics, and Spark UI/Ganglia.
Legacy Microsoft Stack: 5+ years with SQL Server (stored procedures), SSIS, SSRS, and SSAS (Cubes).
Languages & Scripting: 5+ years of strong proficiency in SQL, T-SQL, Python, PySpark, and PowerShell.
Azure Cloud Data Services: 3+ years of hands-on experience building solutions with Azure Data Lake (ADLS Gen2), Azure Synapse Analytics, Azure Data Factory (ADF), and Integration Runtime.
Clearance & Citizenship: Must be a capable of clear passage for a Federal Public Trust clearance.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: indony
Position Id: 203067-3391-
Posted 15 hours ago

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