Senior Data Analyst - Data Protection & Compliance

Spectraforce Technologies; Richmond (VA); Hybrid; USD 90,000 - 120,000; Part time

Job summary

Spectraforce Technologies in Richmond, VA is seeking a Senior Data Analyst to join the Card Data Observability team. You will dive into AWS S3 environments, work in Snowflake, and apply cryptographic validation to reduce false positives across millions of records.

The role focuses on data protection, scan verification, and governance across data migrations, with hybrid work (3 days onsite) and a 3-month duration.

Qualifications

• Extensive hands-on experience writing complex SQL queries across Snowflake or similar cloud data platforms.
• Experience with Databricks compute frameworks to explore and inspect enterprise datasets.
• Fluency querying and inspecting AWS S3 data in a cloud environment.
• Experience configuring access and dashboards in Amazon QuickSight.
• Strong data cleansing, deduplication, and validation logic.
• Excellent technical writing for audit logs and Markdown playbooks.

Responsibilities

• Ingest data and reconcile missing files across migrations in S3 and Snowflake metadata.
• Analyze security events, map data types, and triage results into TP/FP/Unsure.
• Manage data dictionaries and validation logs; push false positives to data management platforms.
• Collaborate with data engineers to validate end-to-end remediation routines in Databricks.
• Use QuickSight dashboards to monitor data integrity and prevent leakage.

Skills

Data infrastructure mastery

Advanced data processing

Cloud architecture fluency

Data visualization delivery

Data cleansing logic

Agile communications delivery

Tools

Snowflake

Databricks

AWS S3

Amazon QuickSight

Job description

Spectraforce Technologies in Richmond, VA is seeking a Senior Data Analyst to join the Card Data Observability team. You will dive into AWS S3 environments, work in Snowflake, and apply cryptographic validation to reduce false positives across millions of records.

The role focuses on data protection, scan verification, and governance across data migrations, with hybrid work (3 days onsite) and a 3-month duration.