Senior Data Architect
19 hours ago
Responsibilities:
• Design and implement the structure of conceptual, logical, and physical data models, including databases, warehouses, and lakes.
• Select and apply database management systems that align with the organization's needs, optimizing data storage and establishing data access controls and security measures.
• Understand and adhere to data confidentiality, security, and compliance needs, applying data protection rules at storage, compute, and consumption layers.
• Design data protection solutions at the database, table, column level, and APIs based on enterprise standard data security, privacy architecture principles, and reference architectures.
• Enhance data pipeline performance, ensure timely orchestration, and uphold data governance.
• Translate high-level business requirements into data models, appropriate metadata, test data, and data quality standards.
• Engage with senior business stakeholders to ensure that project delivery aligns with strategic roadmaps.
• Participate in the peer review and quality assurance of project architectural artifacts.
• Define and manage standards, guidelines, and processes to ensure data quality.
• Collaborate 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.- A bachelors degree in computer science data science engineering or related field - At least five years of relevant experience in the design and implementation of data models for enterprise data warehouse initiatives - Experience leading projects involving data lakes data warehousing data modeling and data analysis - Proficiency in the design and implementation of modern data architectures and concepts such as cloud services AWS Azure GCP real-time data distribution Kafka Dataflow and modern data warehouse tools Redshift Snowflake Databricks - Experience with various database platforms including DB2 Microsoft SQL Server PostgreSQL Couchbase MongoDB etc. - Understanding of entity-relationship conceptual logical and physical modeling metadata systems and data quality tools and techniques - Ability to assess traditional and modern data architecture components 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
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