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Director, Engineering (Data Platforms SRE) is responsible for leading and supporting our most significant cloud adoption ever in Google Cloud, to deliver best of breed solutions to our customers. Along with leading a team of highly skilled engineers and architects, this role will partner with various internal and external stakeholders to setup process and supporting tools to ensure reliability in production data operations.
As the leader for the team, this role will work with the team to grow their skills, drive opportunities of rolling out and operationalization of new public cloud services and applications, and focus on engineering excellence.

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.

• 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.