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Azure Data Manager Jobs (NOW HIRING)

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc. · Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build ...

Azure Data Lead

Jersey City, NJ · On-site

$119K - $143K/yr

Azure Data Lake Storage Gen2 for lakehouse-style storage, folder structures, file formats, access control, and lifecycle management * Azure Synapse Analytics or Azure SQL for analytical workloads ...

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience managing End to End Data specific tower * Experience with Automation / Optimization (must have) * Experience with Azure Databricks * Experience with Azure Data Factory * Experience with ...

Senior Azure Data Engineer

Cary, NC · On-site

$107K - $128K/yr

Precisely or equivalent data quality/data management tools * Azure DevOps (AzDO) * GitHub-based CI ... CD * Practical experience using GitHub Copilot for data engineering and development productivity

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage . * Support analytics and AI/ML use cases with clean, reliable, and scalable data models. * Collaborate ...

$46.75 - $61/hr

Strong experience with Azure Databricks , including cluster management, notebook development, and Delta Lake. * Proficiency in big data technologies (e.g., Hadoop, Spark) and data processing ...

Azure Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Responsibilities : • Provide code review and facilitate code management for the engineering team ... Azure data bricks cluster • 1+ years of hardcore experience with Spark SQL • 1+ years of ...

Securely manage secrets and keys using Azure Key Vault * Integrate external data sources (e.g., APIs) and cloud databases such as Snowflake and Synapse Analytics * Collaborate with analysts and ...

Azure Data Architect (Remote)

$65.25 - $84/hr

The role involves architecting and implementing enterprise data management processes, business ... Azure Data Factory, Data Lake, and other analytics products. • Strong understanding of AI ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The engineer will implement and manage real-time and batch data ingestion solutions using Qlik ... Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Databricks ...

Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Required : • A minimum of ten (10) years of IT experience in data engineering or data management ... Azure Synapse is required • 5+ years of experience of data warehousing and building data ...

Azure Data Engineer__ITAR

Seattle, WA · On-site

$62.50 - $77.75/hr

... management, dependency and metadata Qualifications : Required : • ITAR position and Need USC only • Master Technical Developer Candidate for this position to be offered with TAIC or TCSL as ...

Showing results 21-40

Azure Data Manager information

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$31K

$97.1K

$172K

How much do azure data manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for azure data manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Azure Data Manager jobs?

For Azure Data Manager jobs, the most frequently searched job titles are:

Azure Data Engineer

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 17 days ago


Job description

Title : Lead/ Senior Azure Data Engineer 

Location : Dallas, TX

Rate :  On C2C

Job Summary:

The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and maintenance of large-scale, complex data processing systems on the Azure platform. They work with data architects, data scientists, and other stakeholders to ensure data solutions are scalable, reliable, and secure.

Job Description:

Job Responsibilities

·       Design and implement Data Ingestion from multiple sources to Azure Data Storage services.

·       Implement Azure data services and tools to ingest, egress, and transform data from multiple sources.

·       Responsible for creating an ETL pipeline with Azure Ecosystem like Azure Data Bricks, Azure Data Factory.

·       Build simple to complex pipelines, activities, Datasets & data flows

·       Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement transformation logic and stage transformed data.

·       Design data ingestion into data modelling services to create cross domain data models for end user consumption.

·       Implement ETL, related jobs to curate, transform and aggregate data to create source models for end user analytics use cases.

·       Scheduling automation and monitoring instrumentation for data movement jobs.

·       Working experience with Azure monitor and Azure log Analytics.

·       Background work on legacy data warehouses and Big Data will be plus.

·       Should have fair knowledge of the consumption layer (BI) and the business processes.

·       Implement/Support Azure DBaaS infrastructure and services

·       Experience working in Agile/Scrum/Kanban team environments

Candidate Profile / Qualification

·       A Minimum of a Bachelor’s degree in Computer Science or related software engineering discipline, or equivalent

·       9-12 years of experience managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc.

·       Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build simple to complex notebooks, pipelines, activities, Datasets & data flows.

·       Experience with message ingestion systems like Kafka / Azure Event Hub.

·       Experience in data modelling and Proficient in SQL developer skills in writing stored procedures, functions, transformations etc.

·       Experience in PySpark and data factory is must

·       Knowledge in Service provisioning, scripted provisioning, blueprint development for data service deployment etc.

·       Excellent oral and written communication skills.

·       Candidate should possess a strong work ethic, good interpersonal and communication skills, and a high energy level