Jobs via Dice · 10 hours ago
Senior Data Ops Engineer AI Automation & Operational Data
Atlanta, GA
Full-time
Onsite
Senior LevelJobs via Dice is seeking a Senior Data Ops Engineer with strong hands-on coding expertise and critical thinking skills, focused on building automation pipelines and AI-driven workflows using semi-structured and unstructured data. The ideal candidate will be responsible for designing and developing automation pipelines, integrating operational data, and ensuring data quality and governance.
Computer Software
Responsibilities
Design and develop automation pipelines and workflows using semi-structured and unstructured data
Integrate and manage operational data from HR, Finance, Operations, and other enterprise systems
Implement and maintain data governance, lineage tracking, and data cataloging
Build and support production-grade ETL/ELT pipelines
Ensure data quality, observability, instrumentation, and monitoring
Collaborate with business stakeholders to convert ambiguous requirements into scalable data solutions
Support enterprise-grade Power BI implementations, including governance and performance optimization
Maintain and enhance Operational Data Stores (ODS) and enterprise data platforms
Qualification
Required
Data Engineering Fundamentals (Critical)
Experience implementing and managing data catalogs
Strong understanding of data lineage, governance, and metadata management
Experience creating and maintaining data dictionaries
Expertise in dimensional modeling
Strong experience building ETL / ELT pipelines
Knowledge of data quality frameworks and monitoring
Experience designing and maintaining Operational Data Stores (ODS)
Strong hands-on programming experience in Python and SQL
Ability to write production-quality, scalable, and maintainable code
Strong knowledge of software engineering best practices and design patterns
Ability to review, assess, and improve existing codebases
Must be a true engineer, not dependent on AI-generated code for core development
Experience implementing data observability tools
Strong knowledge of pipeline instrumentation
Experience with monitoring, alerting, and incident response
Continuous monitoring and improvement of data quality and reliability
Hands-on experience with Azure Data Platform, including: Azure SQL, Azure Synapse, Azure Data Factory
Experience with Azure Document Intelligence (OCR / document processing)
Experience integrating Azure AI Services
Knowledge of Microsoft 365 administration and governance
Experience managing Azure Active Directory (AAD)
Experience implementing enterprise-grade Power BI solutions
Strong understanding of data modeling and dimensional modeling
Performance tuning and optimization of Power BI datasets
Experience implementing security, governance, and access control
Ability to train and enable business users
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase