Note: The job is a remote job and is open to candidates in USA. Dynatrace is a one-product software company creating real value for the largest enterprises and millions of end customers globally. They are seeking a Sr. Data Engineer to build and operate data infrastructure that powers analytics and reporting while ensuring reliability and cost-efficiency.

Responsibilities

• Build and operate scalable ELT/ETL pipelines using open-source tools (Python, Spark, etc) and managed platforms such as Fivetran, etc, applying automation-first patterns to minimize per-source engineering effort
• Own the dbt project end-to-end - model layering, testing, deployment, and lineage - and instrument pipelines with data quality checks, SLA alerting, and CI/CD practices
• Administer Data platform tools such as Snowflake, AWS Services, DBT Cloud across all environments, warehouse sizing, query optimization, object lifecycle, RBAC design, and Row-Level Security implementation with access provisioning automated through scripting or infrastructure-as-code
• Own alerting and notification automation for pipeline health, data quality breaches, and cost spikes, and provide operational support and administration
• May need to participate in On-Call rotations

Skills

• 6+ years of data engineering experience with senior-level ownership of pipelines and ingestion systems
• Hands-on experience with open-source orchestration tools - Python, Apache Airflow, Spark, Kafka, or equivalent
• Experience operating Fivetran, dbt - connector configuration, schema drift handling, and sync management
• Experience building ingestion automation frameworks using metadata-driven or configuration-driven patterns
• Hands-on Snowflake administration - virtual warehouse sizing, query tuning, clustering keys, object lifecycle management, and credit cost governance
• Snowflake feature administration including Streams, Tasks, Dynamic Tables, Snowpipe, and Data Sharing
• Platform-level administration of managed ELT tools such as Fivetran or Matillion - user management, connector governance, environment configuration, and operational support
• Hands-on dbt administration: project configuration, environment and job management, dbt Cloud/Core deployment, and model promotion workflows
• Experience owning end-to-end alerting and notification automation for pipeline failures, data quality breaches, SLA violations, and platform cost anomalies
• Experience applying DevOps practices to data infrastructure, Git-based version control, CI/CD pipelines (GitHub Actions, GitLab CI, or equivalent), and automated testing for dbt models and pipeline code
• Infrastructure-as-code experience (Terraform or equivalent) for provisioning Snowflake objects, roles, and warehouses in a repeatable, auditable way
• Ability to manage release workflows across dev / staging / prod environments with automated promotion gates and rollback capability
• Experience with Snowflake AI integrations
• Snowflake SnowPro Core, Advanced, or Cortex AI certification
• Experience with dbt Mesh or cross-project dbt architectures at scale
• Background in SaaS industries

Benefits

• Health
• Dental
• Life
• STD
• LTD
• 401K
• PTO
• Stock purchase options

Company Overview

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