Lead I - Software Engineering

Pay Rate: $64 - $69/hr Work Mode: Remote Summary: We are seeking an experienced and strategic Senior Data Platform Security Architect to lead the design, implementation, and governance of security across our data platform ecosystem. This role serves as the authoritative voice on data security architecture and works cross-functionally with engineering, data, compliance, product, and cybersecurity teams to ensure the data infrastructure is secure, resilient, and compliant with regulatory requirements. Responsibilities: Architect and own end-to-end security frameworks for data platforms, including data lakes, data warehouses, streaming pipelines, and analytics platforms. Define and enforce data security standards, including access control, encryption at rest and in transit, data masking, and tokenization. Lead threat modeling and risk assessments for data platforms and drive remediation efforts. Design and implement IAM strategies, including RBAC, ABAC, and least-privilege access models. Establish and mature data classification policies and security tiers. Embed security across the full data lifecycle: ingestion, transformation, storage, consumption, and archival. Define security requirements for cloud-native data services across AWS, Azure, and GCP. Design audit logging, lineage tracking, and monitoring solutions to support incident detection, forensics, and compliance reporting. Ensure compliance with regulatory and security frameworks, including GDPR, CCPA, SOC 2, SOX, USGCB, FCC Decree. Mentor engineers and act as a subject matter expert in secure data platform design. Evaluate and recommend security tools and vendors. Communicate security architecture decisions and risk posture to technical and executive stakeholders. Requirements: Experience in Data Platform Security Architecture (Lakes, Warehouses, Streaming). Proficiency in Cloud Data Security across AWS, Azure, and GCP. Knowledge of IAM, RBAC, ABAC, and Zero Trust Security Models. Expertise in Data Encryption, Masking, Tokenization, and Secrets Management. Familiarity with Snowflake, Databricks, Microsoft Fabric Security. Understanding of Compliance & Regulatory Frameworks (GDPR, CCPA, SOC2, SOX). Experience with Audit Logging, Monitoring, SIEM, and Incident Response. Knowledge of Data Streaming Security (Kafka, Spark). Preferred Skills: CISSP / CCSP / AWS Security Specialty / Google Professional Cloud Security Engineer (at least one preferred).