Job Title: Senior Data Lead Azure Data Factory (ADF) / Databricks / Snowflake

• Preferred: Bellevue, WA (HQ) or Overland Park, KS Onsite 4 days/week

We are seeking a Senior Data Lead with strong expertise in Azure Data Factory (ADF), Databricks, and Snowflake to lead the design, development, and optimization of large-scale data ingestion and transformation pipelines. This role requires deep hands-on technical leadership, experience with complex data ecosystems, and the ability to mentor teams while delivering reliable, scalable, and secure data solutions.

• Lead architecture, design, and implementation of scalable, modular, and reusable data pipelines using Azure Data Factory, Databricks, Snowflake, and open-source ingestion platforms

• Oversee technical teams and provide hands-on guidance, mentorship, and best practices

• Design and implement platform-agnostic ingestion frameworks supporting multiple input/output sources (100+ data sources)

• Build and optimize ETL/ELT pipelines to ensure performance, reliability, and data quality

• Develop custom data transformations, enrichments, filtering, routing, and format conversions (JSON, CSV, XML, Logfmt)

• Implement schema normalization strategies (e.g., OCSF) including mapping, validation, and transformation templates

• Ensure end-to-end data lineage, traceability, and audit readiness with metadata tagging and correlation IDs

• Collaborate with observability, security, analytics, and platform teams for pipeline monitoring and anomaly detection

• Monitor and troubleshoot pipelines to minimize data loss, duplication, and transformation drift

• Work closely with stakeholders to gather requirements and deliver data-driven solutions

• Lead technical evaluations and recommend best-fit tools, technologies, and practices

• Maintain centralized documentation including ingestion patterns, schemas, governance, and standards

• Stay current with evolving data engineering and analytics technologies

• 7 9 years overall data engineering experience

• Strong proficiency in Azure Data Factory (ADF) for orchestration and integration

• Hands-on experience with Databricks for data engineering and processing

• Strong expertise in Snowflake (data modeling, querying, performance optimization)

• Experience designing and managing complex ETL/ELT pipelines

• Strong scripting skills in Python, JavaScript, or Groovy

• Solid troubleshooting and performance optimization skills

• Excellent communication skills to work with technical and non-technical stakeholders

• Proven leadership experience guiding technical teams

• Experience working in Agile environments

• Bachelor of Technology / Engineering or equivalent

• Snowflake Certification

• Azure Data Factory (ADF) Certification

• Databricks Certification

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