AI Data Engineering Manager - 100% Remote

Job Summary:

We are seeking experienced Data Engineering Managers to lead AI-native data platform initiatives focused on building scalable, cloud-based data and analytics solutions. The ideal candidate will have strong expertise in Google Cloud Platform, BigQuery, Python, modern data architectures, and AI/ML-enabled data ecosystems. This role requires both hands-on technical leadership and people management experience.

Key Responsibilities:

• Lead and mentor data engineering teams building scalable AI-native data platforms and analytics solutions.

• Architect and develop enterprise-grade data pipelines using Python and Google Cloud Platform technologies.

• Design and optimize BigQuery-based data warehouses, data lakes, and real-time analytics platforms.

• Collaborate with AI/ML teams, product managers, architects, and business stakeholders to support AI-driven use cases.

• Drive implementation of scalable ETL/ELT frameworks, streaming pipelines, and data governance standards.

• Establish engineering best practices for performance optimization, reliability, observability, and security.

• Lead technical delivery, sprint planning, roadmap execution, and stakeholder communication.

• Support adoption of AI-enabled analytics, Generative AI integrations, and intelligent data processing solutions.

• Manage hiring, coaching, and career development of data engineering teams.

Required Skills:

• 10+ years of experience in Data Engineering with 3+ years in engineering management or technical leadership.

• Strong hands-on expertise in Python development for data engineering and automation.

• Extensive experience with Google Cloud Platform (Google Cloud Platform).

• Deep expertise in BigQuery, data warehousing, and large-scale analytics platforms.

• Strong experience designing ETL/ELT pipelines and distributed data processing systems.

• Experience with cloud-native data architectures and AI-native data ecosystems.

• Expertise in SQL, data modeling, performance tuning, and optimization.

• Experience with Apache Airflow, Dataflow, Pub/Sub, or similar orchestration/streaming technologies.

• Familiarity with CI/CD, Infrastructure as Code, and DevOps/DataOps practices.

• Strong understanding of data governance, security, and compliance standards.

• Experience working in Agile/Scrum environments.

Preferred Qualifications:

• Experience with Vertex AI, Generative AI integrations, or AI/ML data pipelines.

• Familiarity with Dataproc, Spark, Kafka, or real-time streaming frameworks.

• Experience supporting MLOps and AI model deployment workflows.

• Exposure to data observability and monitoring tools such as Datadog, Grafana, Splunk, or Prometheus.

• Experience managing globally distributed teams.

• Google Cloud Platform Certifications are highly preferred.

Best Regards,

Chetna

Truth Lies in  Heart