Key Responsibilities:
- Own Production Operations and Engineering support for critical data platform applications including our proprietary Data and Analytics Platform (DAP) in Google Cloud.
- Lead the observability, investigation and response to incidents in Production, and work closely with application/operations teams to actively identify & resolve performance issues.
- Setup processes and supporting tools to ensure reliability in production data operations in close partnership with internal and external stakeholders.
- Act as a Cloud-based BigData applications SME, to advise various BU/IT teams on architectural, design, performance tuning, cost efficiencies, and operations related issues.
- Contribute to the design, coding, and software upkeep to improve the availability, scalability, latency, and efficiency of applications, incorporating third-¬party open-source tools when available.
- Oversee team of engineers, coordinate scheduling, task management, planning, and growth of team members.
- Manage communication during major incidents to both business and technology stakeholders.
- Support the roll-out and operationalization of new public cloud services and applications.
Key Requirements:
- Bachelor’s degree in Computer Science or related fields.
- Minimum of 7 years of experience in a similar position.
- Holding Advanced Certifications in AWS and/or GCP and/or Big Data platforms (Databricks, Snowflake, etc.).
- Experience working in a Site Reliability Engineering (SRE) or Application Support role, specifically focused on data platforms or data-intensive applications.
- Experience supporting cloud-based data platforms (e.g., Databricks, Snowflake, GCP Dataflow, Big Query, Cloud SQL, Alloy DB, Mongo DB, ETL/ELT, etc.).
- Experience with monitoring, alerting, and observability tools tailored for data pipelines (e.g., Prometheus, Grafana, Datadog, Open Telemetry, etc.).
- Familiarity with CI/CD practices and DevSecOps tooling (e.g., GitHub Actions, Jenkins, SonarQube, Snyk) for data pipeline deployments.
- Strong experience in SQL and data analysis, with the ability to query, interpret, and validate large datasets.
- Hands-on experience in data incident management, including detection, triage, resolution, and post-incident reviews.
- Deep expertise in debugging and root cause analysis of complex data pipelines across distributed systems.
- Strong understanding of data quality, data governance, and compliance in production environments.
- Experience in collaborating with cross functional teams and creating/leading cross-functional programs to bring about greater operational efficiency.
- Proficiency in Microsoft Office Suite skills.
- Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
- Where applicable, fluency in English and languages relevant to the working market.
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What We Do
For almost 200 years, Dun & Bradstreet has helped clients and partners grow and thrive through the power of data, analytics, and data-driven solutions. Our more than 6,000 employees around the world are dedicated to this unique purpose, and we are guided by important values that make us the established leader in business decisioning data and analytical insights. Our data & insights are valuable at all phases of a business lifecycle and whatever the economic environment.
Why Work With Us
We are at a transformational moment in our company journey, and we’re excited about it. Each day, we are taking steps to transform our culture into one that activates our people’s best work, exploring what needs to change to accelerate creativity and innovation, and challenging ourselves to think differently about how we interact.
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