Associate Director – DataOps Engineering

JOB PURPOSE

The role is responsible to design, build and maintain the data pipelines and tools that support democratizing data across the organization to enable data driven decision making. He/she will collaborate with Data Scientists, Product teams and business stakeholders to transform business requirements into efficient and reliable solutions.

Key Responsibilities:

• Develop and maintain data Lakehouse solutions leveraging Google BigQuery and Vertex AI, optimized for performance, cost-effectiveness, and advanced analytics.
• Lead the Design and development of robust data pipelines (streaming, batch, API endpoints) for efficient data collection, transformation, and analysis.
• Ensure data solutions are secure and compliant with industry regulations, supporting detailed reporting and self-service analytics.
• Implement best practices for data quality, consistency, and integrity across the entire data infrastructure.
• Establish monitoring, logging, and alerting frameworks to ensure data pipeline reliability and performance.
• Collaborate with stakeholders to translate business requirements into technical data solutions.

QUALIFICATIONS, EXPERIENCE AND COMPETENCIES

Preferred Qualifications:

• A tertiary level qualification from an internationally/regionally recognized institution
• Google Cloud Professional Data Engineer certification.

Years & Nature of Experience:

• Recommended 8 to 10 years of equivalent experience in designing and implementing data pipelines using Google Cloud or other public cloud platforms.
• Deep expertise in Google Cloud technologies such as BigQuery, Data Fusion, DataForm, DataFlow, Cloud Composer, DataPlex, Dataproc, Analytics Hub etc.
• Strong understanding of data governance principles, including security, compliance, and privacy by design.

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