Key Responsibilities:Design, implement, and manage enterprise data architecture.Develop and maintain data models, data dictionaries, and metadata repositories.Collaborate with stakeholders to understand data needs and translate them into technical solutions.Ensure data quality, integrity, and security across systems.Lead data integration, migration, and warehousing projects.Evaluate and recommend new data technologies and tools.Support data governance and compliance initiatives.🛠️ Required Skills & Tools:Strong experience with SQL, Python, SAS, R, and data modeling tools.Proficiency in cloud platforms (AWS, Azure, GCP).Familiarity with ETL tools, data lakes, and data warehousing (e.g., Snowflake, Redshift).Knowledge of data governance frameworks and privacy regulations.Excellent problem-solving and communication skills.🎓 Qualifications:Bachelor’s degree in Computer Science, Data Science, or related field.Master’s degree or certifications (e.g., AWS Certified Data Analytics, TOGAF) are a plus.5+ years of experience in data architecture or related roles.