Description

Responsibilities

• Translate high-level business requirements into data models, metadata specifications, test data, and data quality standards.
• Manage senior business stakeholders to secure strong engagement and ensure project delivery aligns with longer-term strategic roadmaps.
• Lead and participate in peer review and quality assurance of project architectural artifacts.
• Define and manage standards, guidelines, and processes to ensure data quality across the organization.
• Work with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
• Evaluate and recommend emerging technologies for data management, storage, and analytics.
• Establish and maintain governance frameworks for internal teams and vendor partners.
• Understand and apply data confidentiality, security, and compliance requirements, including data protection rules across storage, compute, and consumption layers.
• Design data protection solutions at database, table, and column levels, and for APIs, based on enterprise standard data security and privacy principles.
• Design the structure and layout of data systems, including databases, warehouses, and lakes.
• Select and implement database management systems by defining data schemas, optimizing data storage, and establishing data access controls and security measures.
• Enhance data pipeline performance, ensure timely orchestration, and uphold data governance to deliver exceptional business value.

Qualifications

• Required
  • Bachelor's degree in computer science, data science, engineering, or related field.
  • At least 10 years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives.
  • Experience leading projects involving cloud data lakes, data warehousing, data modeling, and data analysis.
  • Proficiency in design and implementation of modern data architectures and concepts, including cloud services (AWS).
  • Experience with real-time data distribution technologies such as Kinesis, Kafka, and Dataflow.
  • Experience with modern data warehouse tools including Redshift, Snowflake, and Databricks.
  • Experience with multiple database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, and MongoDB.
  • Understanding of entity-relationship modeling, metadata systems, and data security and quality tools and techniques.
  • Ability to design traditional/relational and modern big-data architecture based on business needs.
  • Experience with business intelligence tools and technologies such as Informatica, Power BI, and Tableau.
  • Exceptional communication and presentation skills.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders.
  • Ability to guide solution design and architecture to meet business needs.
• Preferred
  • Experience with Erwin for data modeling

Key Skills

Education

Bachelor's degree