• Design, develop, and optimize scalable, high-performance, secure, and reliable data pipelines that address diverse business requirements • Identify opportunities to improve internal processes, implement automation to reduce manual tasks, and contribute to infrastructure redesign • Mentor and guide junior engineers, supporting their professional growth and promoting an inclusive work environment • Collaborate with cross-functional teams to ensure data quality and enable data-driven decision-making to enhance the functionality of our data systems • Work with project managers and product owners to help prioritize, estimate, and plan development tasks • Provide constructive feedback and share expertise with team members to foster mutual growth and learning • Continuously research and adopt new technologies, libraries, frameworks, and best practices to strengthen the data team’s capabilities • Demonstrate a commitment to accessibility and ensure your work considers and positively impacts diverse users

• Lead the design, implementation, and optimization of enterprise-scale Azure data platform solutions • Architect data ingestion pipelines from diverse sources including databases, APIs, files, and streaming systems • Design and optimize ETL/ELT processes using SQL, Python, Spark, and Azure native services • Establish data quality frameworks, monitoring, and alerting systems • Implement data governance frameworks, security protocols, and compliance standards

• Lead the design, implementation, and optimization of enterprise Snowflake data platform solutions • Drive cloud-native data architecture initiatives and establish scalable analytics capabilities. • Design and implement enterprise-scale Snowflake data platform architectures • Establish modern data lakehouse patterns using Snowflake's cloud data platform capabilities • Define data governance, security, and access control frameworks • Lead platform assessments, optimization initiatives, and strategic planning • Architect robust data ingestion pipelines using Snowpipe, external stages, and partner integrations • Design efficient ELT processes using Snowflake SQL, Snowpark, and Python/Scala • Implement data sharing capabilities, marketplace integrations, and cross-cloud connectivity • Establish monitoring, alerting, and cost management best practices • Design integrations with BI tools, data visualization platforms, and analytics applications • Enable advanced analytics and machine learning workflows using Snowpark ML • Implement real-time and batch data processing patterns • Lead data platform migrations and modernization projects

• Design and implement data ingestion pipelines using CDC/CT (Change Tracking) from SQL Server sources • Build and maintain medallion architecture (Bronze → Silver → Gold) data layers in Snowflake • Develop data transformation models using tools like dbt, AWS Glue, or Snowflake native features (stored procedures, tasks) • Implement SCD Type 1 and Type 2 patterns for historical data tracking • Design and implement Row-Level Security (RLS) for multi-tenant data access • Create and optimize Snowflake objects including tables, views, streams, tasks, and stored procedures • Design data models supporting complex reporting requirements for absence management, workforce analytics, and substitute tracking • Ensure Gold layer is optimized for BI tool consumption (Power BI, Tableau, or other reporting tools) • Establish data quality checks, monitoring, and alerting mechanisms • Document technical designs, data dictionaries, and lineage documentation • Mentor junior team members and conduct code reviews