Architect - D&ai Data Operations

**Overview**
- Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives.
- Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred.
- Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence.
- Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy.
- Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency.
- Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments.
- Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes.
- Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture.
- Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution.
- Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps.

**Responsibilities**
- Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics.
- Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability.
- Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance.
- Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform.
- Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making.
- Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams.
- Support data operations and sustainment activities, including testing and monitoring processes for global products and projects.
- Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams.
- Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements.
- Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs.
- Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams.
- Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams.
- Support the development and automation of operational policies and procedures, improving efficiency and resilience.
- Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies.
- Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery.
- Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps.
- Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals.
- Utilize technical expertise in cloud and data operations to support service reliability and scalability.

**Qualifications**
- 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred.
- 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance.
- 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams.
- Experience in a lead or senior support role, with a focus on DataOps execution and delivery.
- Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences.
- Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements.
- Customer-focused mindset, ensuring high-quality service delivery and operational efficiency.
- Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced envir