Senior Data Platform Engineer (Snowflake / dbt)

Tektend LLC is seeking a Senior Data Platform Engineer to design, scale, and optimize our modern enterprise data platform based in New York, NY (hybrid). In this role, you will be instrumental in architecting high-throughput data pipelines, evolving our analytical data models using Snowflake and dbt, and driving engineering excellence across the organization to enable self-serve analytics and advanced machine learning initiatives.Key Responsibilities:Architect, build, and maintain production-grade data pipelines and semantic models using Snowflake and dbt.Tune and optimize Snowflake compute clusters, warehouse configurations, and query performance to balance throughput and cost efficiency.Develop automated data quality testing, monitoring, alerting, and observability frameworks to ensure data integrity across all environments.Partner with analytics engineers, data scientists, and business stakeholders to translate domain requirements into performant, dimensional data marts.Implement data platform infrastructure-as-code and CI/CD deployment workflows utilizing modern DevOps tools and cloud orchestrators.Requirements:4+ years of data engineering experience with specialized depth in Snowflake administration and dbt (Core or Cloud).Expert-level proficiency in SQL and robust software engineering skills in Python.Hands-on experience with workflow orchestration engines such as Apache Airflow, Dagster, or Prefect.Strong understanding of dimensional data modeling, Star/Snowflake schemas, and Data Vault methodologies.Experience with cloud infrastructure (AWS, GCP, or Azure) and infrastructure management tools like Terraform.Ability to work on a hybrid schedule in our New York, NY office.