About the Team

Data Ops team will own the company's data infrastructure, ensuring our data infrastructure's availability, scalability, security, and reliability while providing exceptional support to the customers, including operators, developers, analysts, and research scientists. This team will provide first and second levels of support to internal customers on requests related to data pipelines, access management, etc. The ideal candidate would be passionate about data management and want to impact the organization's data management processes significantly. The successful candidate will have strong leadership skills and the ability to mentor and develop team members to achieve their full potential.

Role Responsibilities:

• Lead a team to run the data infrastructure in the production environment by monitoring availability and taking a holistic view of system health
• Built rapport with the customers and stakeholders and adjust runbooks to meet their needs
• Provide operational first & second-line support for multiple large-scale data Products, Services, and ML models
• Participate in on-call rotations to ensure 24/7 availability of data infrastructure and services. Triage and debug production issues
• Measure and optimize system performance with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement
• Partner with development teams to improve services through rigorous testing and release procedures
• Continuously improve our data infrastructure and processes to ensure optimal performance, reliability, and security
• Develop and mentor team members, providing guidance and support to achieve goals

Skills Needed:

• BS or MS degree in Computer Science, Engineering, or a related technical field
• Strong SQL skills
• 8+ years of experience in DataOps, Data Management, Data Engineering, or related field with event instrumentation, data pipelines, and data warehouses, preferably acting as a data architect in one of the previous roles
• 2+ years of experience managing a team of DataOps engineers
• Strong experience in data integration, ETL, data modeling, and data pipeline tools such as Apache Kafka, Apache Airflow, dbt, and AWS Glue
• Experience with modern data warehouses, like Snowflake or BigQuery, and Databricks Lakehouse Platform
• Experience with big data technologies, such as Hadoop, Spark, and NoSQL databases
• Strong skills in SQL and database technologies such as MySQL, PostgreSQL, and MongoDB
• Experience with cloud computing, such as AWS or Azure
• Experience with monitoring and logging tools such as Prometheus, Grafana, and ELK stack
• Experience with DevOps and Agile methodologies
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to manage and prioritize multiple projects and tasks in a fast-paced environment
• Strong leadership and mentoring skills

Remote roles in India are available in all territories.

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