• Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability. • Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads. • Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance. • Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation. • Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests. • Provision and manage data platform infrastructure, including Snowflake resources and Airflow, utilizing Terraform. • Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery. • Manage PostgreSQL as a source-of-truth operational database, focusing on query optimization, indexing, replication, and migrations. • Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes. • Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog. • Maintain CI/CD pipelines for DAG deployments, dbt runs, schema migrations, and container image builds. • Collaborate with analytics, product, and full-stack development teams to model clean, well-documented data products. • Navigate AWS environments (including RDS and S3) to manage data-adjacent services, read logs, and adjust scaling parameters.

• Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability. • Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads. • Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance. • Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation. • Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests. • Provision and manage data platform infrastructure, including Snowflake resources and Airflow, utilizing Terraform. • Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery. • Manage PostgreSQL as a source-of-truth operational database, focusing on query optimization, indexing, replication, and migrations. • Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes. • Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog. • Maintain CI/CD pipelines for DAG deployments, dbt runs, schema migrations, and container image builds. • Collaborate with analytics, product, and full-stack development teams to model clean, well-documented data products. • Navigate AWS environments (including RDS and S3) to manage data-adjacent services, read logs, and adjust scaling parameters.

• Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability. • Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads. • Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance. • Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation. • Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests. • Provision and manage data platform infrastructure, including Snowflake resources and Airflow, utilizing Terraform. • Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery. • Manage PostgreSQL as a source-of-truth operational database, focusing on query optimization, indexing, replication, and migrations. • Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes. • Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog. • Maintain CI/CD pipelines for DAG deployments, dbt runs, schema migrations, and container image builds. • Collaborate with analytics, product, and full-stack development teams to model clean, well-documented data products. • Navigate AWS environments (including RDS and S3) to manage data-adjacent services, read logs, and adjust scaling parameters.

• Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability. • Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads. • Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance. • Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation. • Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests. • Provision and manage data platform infrastructure, including Snowflake resources and Airflow, utilizing Terraform. • Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery. • Manage PostgreSQL as a source-of-truth operational database, focusing on query optimization, indexing, replication, and migrations. • Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes. • Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog. • Maintain CI/CD pipelines for DAG deployments, dbt runs, schema migrations, and container image builds. • Collaborate with analytics, product, and full-stack development teams to model clean, well-documented data products. • Navigate AWS environments (including RDS and S3) to manage data-adjacent services, read logs, and adjust scaling parameters.