Manager, Data Operations, IBP Program

Fortune 500 Companies; Plano (TX); On-site; USD 105,000 - 178,000; Full time

Job summary

An established industry player is seeking a detail-oriented Manager for Azure Data Operations. This pivotal role involves maintaining and optimizing data pipelines across on-premise and Azure cloud platforms. The ideal candidate will collaborate with global teams to drive DataOps practices, ensuring platform reliability and supporting scalable enterprise data solutions. With a strong foundation in Azure data services, this position offers an exciting opportunity to lead initiatives that enhance data operations and governance. If you are passionate about data and eager to make a significant impact, this role is perfect for you.

Qualifications

• 8+ years of experience in Data & Analytics roles with expertise in data operations.
• Strong foundation in Azure data services and operational support.

Responsibilities

• Manage operations of data pipelines ensuring governance and performance optimization.
• Support DataOps programs and collaborate with cross-functional teams.

Skills

Azure Data Factory (ADF)

Data Operations

Data Governance

Cross-Functional Collaboration

CI/CD Pipelines

Python

Shell Scripting

Education

Bachelor's degree in Information Technology

Master's degree (preferred)

Tools

Azure Synapse Analytics

Azure Data Lake Storage (ADLS)

Azure SQL Database

Azure Databricks

Azure Monitor

Control-M

Job description

1 week ago Be among the first 25 applicants

Fortune 500 Companies provided pay range

This range is provided by Fortune 500 Companies. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$105,000.00/yr - $178,000.00/yr

Direct message the job poster from Fortune 500 Companies

Technical Recruiter @ SevenStep | Permanent Placement, RPO, Technical Recruiting

Job Description

Overview

We are seeking a detail-oriented and proactive Manager – Azure Data Operations to support our growing data organization. In this role, you will be responsible for maintaining and optimizing data pipelines and related infrastructure across both on-premise and Azure cloud platforms. You will collaborate closely with global teams to drive DataOps practices, ensure platform reliability, and support the scalable delivery of enterprise data solutions. This position is ideal for someone with a strong foundation in Azure data services, operational support, and cross-functional coordination.

Responsibilities

• Manage the day-to-day operations of data pipelines, ensuring governance, reliability, and performance optimization on Microsoft Azure. This role requires hands-on experience with Azure Data Factory (ADF).
• Ensure availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence.
• Support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy.
• Assist in implementing real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency.
• Contribute to the development of governance models and execution roadmaps to optimize efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments.
• Work on CI/CD integration, data pipeline automation, and self-healing capabilities to enhance enterprise-wide data operations.
• Collaborate on building and supporting next-generation Data & Analytics platforms while fostering an agile and high-performing DataOps team.
• Support the adoption of Data & Analytics technology transformations, ensuring full sustainment capabilities and automation for proactive issue identification and resolution.
• Partner with cross-functional teams to drive process improvements, best practices, and operational excellence within DataOps.
• Support the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics.
• Assist in managing end-to-end data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability.
• Ensure seamless batch, real-time, and streaming data processing while focusing on high availability and fault tolerance.
• Contribute to DataOps automation initiatives, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps, Terraform, and Infrastructure-as-Code (IaC).
• Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to enable data-driven decision-making.
• Work with IT, data stewards, and compliance teams to align DataOps practices with regulatory and security requirements.
• Support data operations and sustainment efforts, including testing and monitoring processes to support global products and projects.
• Assist in data capture, storage, integration, governance, and analytics initiatives, collaborating with cross-functional teams.
• Manage day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements.
• Engage with SMEs and business stakeholders to align data platform capabilities with business needs.
• Participate in the Agile work intake and management process to support execution excellence for data platform teams.
• Collaborate with cross-functional teams to troubleshoot and resolve issues related to cloud infrastructure and data services.
• Adapt to shifting priorities and support cross-functional teams in maintaining productivity while meeting business goals.
• Leverage technical expertise in cloud and data operations to improve service reliability and scalability.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, MIS, Business, or similar field
• 8+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred.
• 8+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance.
• 5+ years of experience working within a cross-functional IT organization, collaborating with multiple teams.
• 2+ years of experience in a management or lead role, with a focus on DataOps execution and delivery.
• Must have: Hands-on experience with Azure Data Factory (ADF) for orchestrating data pipelines and ETL workflows.
• Proficiency in Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database.
• Familiarity with Azure Databricks for large-scale data processing (basic troubleshooting or support scope is sufficient if not engineering-focused).
• Exposure to cloud environments (AWS, Azure, GCP) and understanding of CI/CD pipelines for data operations.
• Knowledge of structured and semi-structured data storage formats (e.g., Parquet, JSON, Delta).
• Nice to-Have Skills:
• Experience with Python, Shell scripting, or Bash to automate data validation or operational tasks.
• Experience integrating Azure Monitor, Log Analytics, and third-party tools (like Datadog, Splunk, Grafana) for holistic observability.
• Familiarity with tools like Control-M for workflow automation.
• Exposure to data catalog tools (e.g., Collibra, Alation, or Informatica Axon).

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Data Infrastructure and Analytics