AI Data Engineering Manager - 100% Remote

Position: AI Data Engineering Manager Location: 100% Remote Duration: Fulltime 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