Daily Tasks Performed

• Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
• Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps.
• Leads and participates in the peer review and quality assurance of project architectural artifacts Defines and manages standards, guidelines, and processes to ensure data quality.
• Works with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions.
• Evaluates and recommends emerging technologies for data management, storage, and analytics
• Establish and maintain governance frameworks for team and vendor partners to ensure the effectiveness of architecture services.

What will this person be working on

• Understand data confidentiality, security, compliance needs and apply data protection rules including data sharing, filtering, and fencing at storage, compute, and consumption layers.
• Design data protection solutions at database, table, column level and APIs based on enterprise standard data security, privacy, architecture principles and reference architectures.
• Design the structure and layout of data systems, including databases, warehouses, and lakes Select and implement database management systems that meet the organization’s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures
• Deliver exceptional business value by enhancing data pipeline performance, ensuring timely orchestration, and upholding data governance.

Position Success Criteria (Desired) - ‘WANTS’

• A 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 (Erwin) for enterprise data warehouse initiatives
• Experience leading projects involving cloud 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), real-time data distribution (Kinesis, Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks)
• Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, etc.
• Understanding of entity-relationship modeling, metadata systems, and data security, 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.

Job Type: Contract
Pay: $60.00 - $70.00 per hour
Expected hours: 40 per week

Application Question(s):

• Are you authorized to work on W2 basis without required sponsorship?

Experience:

• Data modeling: 10 years (Required)
• Erwin: 10 years (Required)

Work Location: In perso

• Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
• Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps.
• Leads and participates in the peer review and quality assurance of project architectural artifacts Defines and manages standards, guidelines, and processes to ensure data quality.
• Works with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions.
• Evaluates and recommends emerging technologies for data management, storage, and analytics
• Establish and maintain governance frameworks for team and vendor partners to ensure the effectiveness of architecture services