The right talent can transform your business—and we make that happen. At Collabera, we go beyond staffing to deliver strategic workforce solutions that drive growth, innovation, and agility. With deep industry expertise, a global talent network, and a people-first approach, we connect you with professionals who don’t just fit the role but elevate your business. Partner with us and build a workforce that powers success.
Cloud Database Engineer
Remote: Washington, Virginia, US
Salary Range: 70.00 - 75.00 | Per Hour
Job Code: 368284
End Date: 2026-04-24
Days Left: 26 days, 4 hours left
Title: Technical Lead- Cloud Data Engineering
Location: Remote
Duration: 6 months
Pay Range: $70/hr - $75/hr
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)
Job Description
Client is seeking a seeking a customer experience focused Technical Lead – Cloud Data Engineering to lead a team of developers in, Design and implementation of data engineering solutions for Azure Cloud based Data Lake, SQL, and NoSQL data stores. As a technical lead, you will work directly with end users to translate business requirements into cloud data engineering to support an enterprise scale MS Azure based data analytics and reporting platform. Our ideal candidate is mission focused and delivery oriented, and applies critical thinking, including the use of AI concepts, to create innovative functions and solve technical issues.
In this role, you will:
- Work directly with business users to understand data requirements, and develop, deliver, and maintain appropriate data solutions.
- Lead a team of data engineering developers to implement Azure Data Lake based ETL/ELT/data pipelines, data extracts, and API based data delivery.
- Ensure continued legacy EDW development and operations utilizing MS SQL Server, SSIS, SSRS, SSAS, PowerShell, and related technologies.
- Drive migration of legacy EDW platform data workloads to the new Azure Cloud Data Lake platform.
- Define ETL performance testing scope, benchmark workloads against legacy EDW baselines, validate SLA-compliant data loads, and optimize throughput to ensure scalable cloud performance.
- Work with IT infrastructure, DevOps, Data Engineers, Modelers, Architects, to optimize pipelines, in test environment, test design, test execution, resolve issues, perform optimization and tuning.
- Support the design and implementation of data models and data pipelines for relational, dimensional, data Lakehouse (Medallion architecture), data warehouse, data mart, SQL and NoSQL data stores.
- Utilize MS Azure services including Azure Data Lake Storage Gen2, Azure SQL Managed Instance, Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures and Azure OpenAI to develop cloud native data solutions.
- Prepare data required for advanced analytics, visualization, reporting, data extracts, and AI/ML.
- Develop and implement processes, procedures, checklists to guide development and operations of the legacy EDW platform and modernized Azure platform.
- Implement data migration, data integrity, data quality, metadata management, performance management, audit data capture, and data security functions.
- Monitor and troubleshoot data related issues to maintain high availability and performance.
- Implement governance, build, deployment and monitoring to automate platform operation.
- Actively support Agile DevOps process, including Program Increment planning.
- Actively engage in continuous learning to increase relevant skills.
- Maintain strict versioning and configuration control to ensure integrity of data.
For this position, you must possess:
- At least a BS degree in Computer Science or related field and 9+ years experience.
- 5+ years of proven experience leading a team supporting enterprise data warehousing using MS data warehousing and reporting solutions.
- 5+ years of experience working directly with clients to understand data needs, develop and deliver solutions (data engineering, reports, dashboards, data extracts), and provide continued support.
- 5+ years of strong experience in ETL performance testing for traditional EDW and Azure Cloud Data platforms with the use of tools such as JMeter, Native Azure Tools like Azure App Testing, Azure Monitor + Log Analytics, Spark UI + Ganglia for Lakehouse Performance.
- 5+ years of experience delivering solutions using MS database, ETL/ELT, and business intelligence tools, including SQL Server (e.g. stored procedures), SSIS, SSRS, SSAS, (cubes).
- 5+ years of experience with more than one of the following scripting languages: SQL, T-SQL, Python, PySpark, PowerShell.
- 3+ years of experience designing and building ETL/data engineering solutions utilizing various cloud services such as Azure Data Lake Services, Azure Synapse Analytics, Azure Data Factory, Integration Runtime.
- Experience with data management and engineering best practices, including system development lifecycle, configuration control, change management, quality assurance, performance management, documentation support.
- Experience in Agile projects, working with a multi-functional team.
- Must be detail oriented, and able to support multiple projects and tasks.
- Demonstrate continuous learning to increase relevant skills.
- Demonstrated experience in supporting production, testing, integration, and development environments.
- Open mindset, ability to quickly adapt new technologies to solve customer problems.
Job Requirement
- DATA ENGINEER
- AZURE
- ETL
- DATA MODEL
Reach Out to a Recruiter
- Recruiter
- Phone
- SHAKTHIKANNAN KONAR
- shakthikannan.konar@collabera.com
Apply Now
Apply Now
