ADF (Azure Data Factory) + Databricks+ Snowflake

ADF (Azure Data Factory) + Databricks+ Snowflake

Technology->Cloud Integration->Azure Data Factory (ADF) Technology->Data Engineering->Databricks Technology->Data on Cloud->Snowflake Preferred Qualifications: • Strong experience integrating and optimizing workloads with Snowflake, including loading strategies and performance tuning. • Experience implementing medallion/lakehouse-style architectures and scalable data modeling patterns for analytics consumption. • Familiarity with CI/CD practices for data engineering workflows and automated testing approaches for pipelines. • Experience with production observability practices (pipeline metrics, logging, alerting) and operational excellence. • Demonstrated ability to mentor team members, drive design discussions, and influence engineering standards across projects. Key Responsibilities: • Lead end-to-end implementation of data ingestion and orchestration workflows using ADF, including scheduling, dependency management, parameterization, and error handling. • Design and develop scalable data processing pipelines in Databricks using Spark-based transformations for batch and incremental loads. • Build and optimize ELT/ETL patterns integrating Snowflake as a target/source, ensuring performance, reliability, and cost efficiency. • Define data pipeline standards (naming, modularity, reusability) and enforce engineering best practices across the team. • Implement monitoring, alerting, and operational runbooks for production pipelines; drive incident triage and root-cause analysis. • Collaborate with stakeholders to translate requirements into technical designs, estimates, and delivery plans; manage risks and dependencies. • Conduct code reviews, mentor engineers, and guide technical decisions to ensure maintainable and secure solutions. • Improve pipeline performance through tuning, partitioning strategies, and efficient data layout/processing approaches. Minimum Qualifications: • BTECH, MTECH, MCA, or MSC. • 7–9 years of overall experience with strong hands-on expertise in ADF and Databricks for building production-grade data pipelines. • Proven experience designing and supporting reliable ETL/ELT workflows, including scheduling, retries, and failure recovery patterns. • Strong SQL skills and experience working with large datasets and data quality considerations. • Experience collaborating with cross-functional teams and leading technical delivery with ownership mindset.