<p>Job Overview:</p><p>The Data Architect will lead the design and implementation of enterprise data systems, ensuring alignment with business needs, data governance, and security standards. This role involves working closely with IT teams, business analysts, and data consumers to deliver scalable and secure data solutions.</p><p>Daily Responsibilities:</p><ul><li>Translate high-level business requirements into data models, metadata, test data, and data quality standards</li><li>Manage senior business stakeholders to ensure project alignment with strategic roadmaps</li><li>Lead peer reviews and quality assurance of architectural artifacts</li><li>Define and manage standards, guidelines, and processes for data quality</li><li>Collaborate with IT and analytics teams to develop data solutions</li><li>Evaluate and recommend emerging technologies for data management and analytics</li><li>Establish governance frameworks for internal teams and vendor partners</li></ul><p>rProject Focus:</p><ul><li>Apply data protection rules across storage, compute, and consumption layers</li><li>Design data protection solutions at database, table, column, and API levels</li><li>Architect data systems including databases, warehouses, and lakes</li><li>Select and implement database management systems with optimized schemas and security</li><li>Enhance data pipeline performance and ensure data governance</li></ul>

<p>Position Success Criteria (Desired Skills & Experience):</p><ul><li>Bachelor’s degree in Computer Science, Data Science, Engineering, or related field</li><li>10+ years of experience in data modeling and enterprise data warehouse initiatives (Erwin preferred)</li><li>Proven leadership in cloud data lakes, data warehousing, and data analysis projects</li><li>Expertise in modern data architectures and tools (AWS, Kinesis, Kafka, Dataflow, Redshift, Snowflake, Databricks)</li><li>Experience with various database platforms (DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB)</li><li>Strong understanding of entity-relationship modeling, metadata systems, and data security tools</li><li>Ability to design both traditional and big-data architectures</li><li>Familiarity with BI tools (Informatica, Power BI, Tableau)</li><li>Excellent communication and presentation skills</li></ul><p><br></p>

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