Senior Data Engineer

MUST HAVE:

• Bachelor's Degree and 6 years of experience in Advanced data engineering, enterprise architecture, project leadership
or
High School Diploma or GED and 10 years of experience in Advanced data engineering, enterprise architecture, project leadership

US Citizenship / Green Card status

You will design, build, and operate secure, audited, and cost-efficient data pipelines on Snowflake—from raw ingestion to Data Vault 2.0 models and onward to business-friendly consumption layers (mart/semantic). You'll use Qlik/Glue/ETLs for ingestion, dbt Cloud for modeling/testing, MWAA/Airflow and/or dbt Cloud orchestration for scheduling and Terraform (with Hashi Corp practices) for infrastructure-as-code. The ideal candidate must have hands-on experience with data ingestion frameworks and Snowflake platform database/schema design, security, networking, and governance that satisfy regulatory and compliance audit requirements.

• Modeling & Warehousing
• Design and implement scalable data ingestion frameworks
• Implement Raw ? DV 2.0 (Hubs/Links/Satellites) ? Consumption patterns in dbt Cloud with robust tests (unique/notnull/relationships/freshness).
• Build performant Snowflake objects (tables, streams, tasks, materialized views) and optimize clustering/micro-partitioning.

• Author and operate Airflow (MWAA) DAGs and/or dbt Cloud jobs; design idempotent, rerunnable, lineage-tracked workflows with SLAs/SLOs.

• Enforce RBAC/ABAC, network policies/rules, masking/row access policies, tags, data classification, and least-privilege role hierarchies.
• Operationalize audit-ready controls (change management, approvals, runbooks, separation of duties, evidence capture).

• Use CI/CD flows, Terraform, Git branching for code promotion.

• Bake tests into dbt; implement contract checks, reconciliations, and anomaly alerts.
• Monitor with Snowflake /, event tables, and forward logs/metrics to SIEM/APM (e.g., Splunk, Datadog).

Right-size warehouses, configure auto-suspend/auto-resume, multi-cluster for concurrency, resource monitors, and query optimization.

Build controls and evidence to satisfy internal audit, SOX/GLBA/FFIEC/PCI-like expectations.

Bachelor's Degree and 6 years of experience in Advanced data engineering, enterprise architecture, project leadership
or High School Diploma or GED and 10 years of experience.

Snowflake Platform (hands-on, production):

• Secure account setup: databases/schemas/stages, RBAC/ABAC role design, grants, network policies/rules, storage integrations.
• Data protection:
  Dynamic Data Masking, Row Access Policies, Tag-based masking, PII classification/lineage tagging.
• Workloads & features:
  Streams/Tasks, Snowpipe, external tables, file formats, copy options, retries & dedupe patterns.
• Operations: warehouse sizing, multi-cluster, resource monitors, Time Travel & Fail-safe, cross-region/account replication.
• Networking concepts: AWS Private Link/S3 access patterns, external stages, (at least) high-level familiarity with VPC/DNS/endpoint flows.