12+ years of experience in data architecture, data engineering, or enterprise data management • Strong expertise in data modeling (3NF, dimensional modeling, and exposure to Data Vault is a plus) • Advanced proficiency in SQL, PL/SQL and performance tuning on large-scale datasets • Experience with data migration and modernization programs (on-prem to cloud, EDW transformations) • Hands-on experience with at least one enterprise-scale data platform (e.g., Teradata, BigQuery, Databricks, Snowflake, Redshift or similar) • Strong understanding of distributed data processing and MPP architectures • Experience designing and optimizing ETL/ELT pipelines • Proficiency in scripting and automation (Python, Shell, or similar) • Strong understanding of data governance, metadata management, and data quality frameworks • Excellent problem-solving, communication, and stakeholder management skills Preferred Qualifications • Experience with cloud-native data platforms such as BigQuery, Databricks, or Snowflake • Exposure to legacy enterprise databases (Teradata, Oracle, PostgreSQL) • Exposure to GCP data ecosystems • Experience with workflow orchestration tools (Airflow, Control-M, etc.) • Familiarity with Lakehouse architecture, Data Mesh concepts, and modern data frameworks (DBT, Delta Lake, Iceberg) • Experience with CI/CD pipelines and DevOps practices for data platforms • Prior experience in telecom or large-scale enterprise data environments • Experience supporting RFPs, proposals, and client solutioning