Data Warehouse Specialist

About the role

We are seeking a highly skilled Senior Data Engineer to architect, build, and optimize enterprise-grade data pipelines across cloud, on-prem, and hybrid environments. This role requires deep expertise in Qlik Replicate, Snowflake, DBT Cloud, Astronomer Airflow, and Python-based ingestion frameworks, with strong engineering discipline around schema governance, DevOps CI/CD, monitoring, and performance optimization. The ideal candidate thrives in complex data ecosystems and brings a strong mindset around automation, metadata-driven design, and secure, governed ingestion.

Responsibilities

• Design and implement scalable, resilient data pipelines using Snowflake features including Snowpipe, Tasks, Streams, Dynamic Tables, and advanced SQL.
• Build and maintain DBT models with strong testing, documentation, and lineage.
• Develop Python ingestion frameworks for files and APIs, including schema validation, retries, and metadata capture.
• Engineer ingestion for CSV, fixed-width multi-record layouts, JSON, XML, Excel, and semi-structured formats.
• Design Mainframe VSAM data ingestion pattern for complex EBCDIC data formats.
• Detect, analyze, and manage schema drift across file, API, and replicated database sources.
• Implement metadata-driven schema evolution strategies to ensure downstream stability.
• Coordinate schema changes through controlled CI/CD workflows.
• Configure and manage Qlik Replicate tasks for CDC and full-load replication from Oracle, SQL Server, and DB2.
• Ensure idempotent, auditable, and recoverable replication pipelines with strong monitoring and reconciliation.
• Implement and maintain Snowflake Data Masking policies, including dynamic masking, conditional masking, and role-based masking rules.
• Apply Protegrity tokenization for sensitive data fields across ingestion and transformation layers.
• Enforce RBAC, data access controls, and governance standards across Snowflake and supporting systems.
• Build and schedule workflows using Astronomer Airflow, ensuring dependency management, retries, SLAs, and observability.
• Integrate pipelines with enterprise DevOps processes using GitLab and Azure DevOps for CI/CD automation.
• Manage code repositories using GitLab, including branching strategies, merge requests, code reviews, and approvals.
• Implement monitoring and alerting for ingestion pipelines, schema drift, replication, and transformation workloads.
• Optimize Snowflake compute, storage, and query performance; scale ingestion pipelines to meet evolving data volume and latency requirements.

Requirements

• Deep expertise with Snowflake, including data masking policies, RBAC, performance tuning, and advanced SQL.
• Strong experience with Qlik Replicate for CDC and database replication.
• Excellent proficiency in Python and PySpark for ingestion frameworks and automation.
• Hands-on experience with DBT Cloud and Astronomer Airflow.
• Experience with schema drift detection and schema evolution patterns.
• Experience with GitLab and CI/CD pipelines.
• Familiarity with Protegrity or similar data protection platforms.

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Pay

$115,000–$125,000 a year