Senior AI Engineer Manager

About this role

SENIOR MANAGER, DATA ENGINEERING PLATFORM

Ecolab | Data & AI Platform Engineering

Location: [Bangalore/ Hybrid ]

Reports To: Director, Data & AI Platform Engineering

Team: Databricks AI & Data Platform / Snowflake Modern Data Platform

ROLE SUMMARY

Ecolab is seeking a Senior Manager, Data Engineering Platform to lead enterprise data platform capabilities that enable analytics, AI, and business decision-making. This role owns platform operations, integration, observability, monitoring, data quality, lineage, cataloging, security, and engineering enablement across Databricks, Snowflake, and Azure-based data platforms. The leader will deliver a secure, scalable, reliable, and cost-efficient foundation for ingestion, ETL/ELT, orchestration, governance, semantic and ontology capabilities, and production support across enterprise domains.

KEY RESPONSIBILITIES

• Lead the enterprise data engineering platform operating model across Databricks, Snowflake, Azure Data Lake, ingestion, transformation, orchestration, governance, observability, monitoring, cataloging, lineage, and data quality.

• Own platform administration, including workspaces, clusters, SQL warehouses, Unity Catalog, Snowflake roles, resource monitors, workload isolation, and governance controls.

• Define observability and monitoring standards for pipelines, workflows, compute, storage, integrations, data freshness, data quality, lineage, performance, reliability, cost, SLAs, and SLOs.

• Drive automation through self-service provisioning, reusable templates, CI/CD, testing frameworks, release automation, and Infrastructure-as-Code.

• Define integration patterns across Databricks, Snowflake, Azure Data Factory, dbt, Kafka/Event Hubs, APIs, enterprise applications, databases, file sources, BI tools, and downstream platforms.

• Drive semantic and ontology layer capabilities with Data Engineering to enable consistent business definitions, reusable data products, governed cons...