Manager, D&Ai Data Operations, Sector Data Lake
3 weeks ago
- Seeking a Manager, Data Operations, to support our growing data organization. In this role, you will play a key role in maintaining data pipelines and corresponding platforms (on-prem and cloud) while collaborating with global teams on DataOps initiatives.
- 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), Azure Synapse Analytics, Azure Databricks, real-time streaming architectures, and DataOps methodologies.
- 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.
Responsibilities
- 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.
- Assist in developing and automating operational policies and procedures to improve efficiency and service resilience.
- Support incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies.
- Foster a customer-centric environment, advocating for operational excellence and continuous service improvements.
- Contribute to building a collaborative, high-performing team culture focused on automation and efficiency in DataOps.
- 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
- 12+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred.
- 12+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance.
- 8+ years of experience working within a cross-functional IT organization, collaborating with multiple teams.
- 5+ years of experience in a management or lead role, with a focus on DataOps execution and delivery.
- 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).
- Excellent communication skills, with the ability to empathize with stakeholders and articulate technical concepts to non-technical audiences.
- Strong problem-solving abilities, prioritizing customer needs and advocating for operational improvements.
- Customer-focused mindset, ensuring high-quality service delivery and operational excellence.
- Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment.
- Experience in supporting mission-critical solutions in a Microsoft Azure environment, including data pipeline automation.
- Familiarity with Site Reliability Engineering (SRE) practices, such as automated issue remediation and scalability improvements.
- Experience driving operational excellence in complex, high-availability data environments.
- Ability to collaborate across teams, fostering strong relationships with business and IT stakeholders.
- Experience in data management concepts, including master data management, data governance, and analytics.
- Knowledge of data acquisition, data catalogs, data standards, and data management tools.
- Strong analytical and strategic thinking skills, with the ability to execute plans effectively and drive results.
- Proven ability to work in a fast-changing, complex environment, adapting to shifting priorities while maintaining productivity.
- 12+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred.
- 12+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance.
- 8+ years of experience working within a cross-functional IT organization, collaborating with multiple teams.
- 5+ years of experience in a management or lead role, with a focus on DataOps execution and delivery.
- 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).
- Excellent communication skills, with the ability to empathize with stakeholders and articulate technical concepts to non-technical audiences.
- Strong problem-solving abilities, prioritizing customer needs and advocating for operational improvements.
- Customer-focused mindset, ensuring high-quality service delivery and operational excellence.
- Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment.
- Experience in supporting mission-critical solutions in a Microsoft Azure environment, including data pipeline automation.
- Familiarity with Site Reliability Engineering (SRE) practices, such as automated issue remediation and scalability improvements.
- Experience driving operational excellence in complex, high-availability data environments.
- Ability to collaborate across teams, fostering strong relationships with business and IT stakeholders.
- Experience in data management concepts, including master data management, data governance, and analytics.
- Knowledge of data acquisition, data catalogs, data standards, and data management tools.
- Strong analytical and strategic thinking skills, with the ability to execute plans effectively and drive results.
- Proven ability to work in a fast-changing, complex environment, adapting to shifting priorities while maintaining productivity.
- 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.
- Assist in developing and automating operational policies and procedures to improve efficiency and service resilience.
- Support incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies.
- Foster a customer-centric environment, advocating for operational excellence and continuous service improvements.
- Contribute to building a collaborative, high-performing team culture focused on automation and efficiency in DataOps.
- 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.
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