Data Operations Engineer

Veritone is focused on enabling data-driven decision-making across the organization. The Data Operations Engineer will work closely with stakeholders to deliver and support business operations by developing data solutions and enhancing internal analytics platforms.

Responsibilities:

• Serve as an expert for Data Analytics and Reporting:
• BI systems and reporting: Enablement, compliance, development, and maintenance (PowerBI)
• ETL tools: Enablement, compliance, development, and maintenance (Alteryx, Python,, Boomi/Rivery, Airflow, Openflow, AWS Step Functions, AWS Lambda)
• Data warehousing: Design, development, and maintenance of data models and structures (Snowflake, MySQL and Postgres)
• Data pipelines: Build, monitor, and optimize data pipelines for efficient data flow
• Enable cross-functional collaboration:
• Promote a data-driven culture by educating and supporting teams in using analytics tools and data effectively
• Democratize data access to enable self-service analytics and data-driven insights
• Identify and implement cost-saving opportunities related to data infrastructure and processes
• Maintain and enhance a centralized repository of data sources, processes, and data flows
• Optimize data processes to reduce complexity and improve performance
• Document data workflows and processes for business continuity and transparency
• Adhere to data governance best practices
• Identify and address technical debt within data pipelines and systems
• Share knowledge and best practices for efficient code and architectural principles
• Design end-to-end solutions that deliver timely and accurate data for business consumption
• Develop and maintain workflows to prepare and transform data for analysis
• Transform data into actionable insights for business stakeholders
• Understand data relationships, flows, and their impact on key performance indicators (KPIs)
• Develop and maintain operational dashboards to monitor business performance
• Enhance and expand the data warehouse and pipelines to support the organization's analytical maturity
• Foster a data-driven community within the organization by sharing knowledge and promoting data reuse
• Contribute to the analytical framework for strategic decision-making across business functions
• Ensure successful data operations
• Deliver projects based on priorities set for the Data Analytics team
• ITSM exposure - Incident/Change/Problem Management
• SOX ITGC focus
• Strong problem-solving skills for complex data challenges
• Strong documentation skills
• Excellent communication skills to convey technical information to both technical and non-technical audiences
• High-energy, team-first, positive attitude

Requirements:

• B.S. or B.A. required
• 3+ years experience
• Power BI developer required
• ETL tools such as Alteryx (highly preferred), Python, Airflow, Openflow and Boomi/Rivery
• Snowflake data warehousing (highly preferred)
• Experience with Salesforce data and integrations
• Experience with cloud data warehouses/data lakes and integrations
• Experience with CI/CD pipelines for data solutions
• Ability to learn and adapt to new data tools and technologies
• Experience managing data-related projects
• ETL tools such as Alteryx (highly preferred)