Lead modernization of production data pipelines, designing architecture and incrementally migrating systems while preserving existing outputs. Perform hands-on engineering with Airflow, Spark, dbt, BigQuery, and Python. Establish testing, code review, incident management, and release processes; implement data security, retention, and deletion requirements. Mentor a Data Engineer and ensure reliable long-term ownership and maintenance of migrated pipelines.

Designs, implements, and supports enterprise IAM solutions across hybrid environments. Responsibilities include SSO, MFA, federation, API security, authentication flows, access policies, identity repositories, integrations, high availability, disaster recovery, monitoring, governance, compliance, and production support. The consultant leads technical workstreams, creates architecture and operational documentation, mentors team members, and collaborates with business and technology stakeholders.