Upwork is hiring a Principal Data Architect

Preferred Skills, Experience, and Education:

•Strong technical understanding of data modeling, design and architecture principles and techniques across master data, transaction data and derived/analytic data.

• Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance and data warehousing.

• Highly competent with relational database design and structured query language (SQL).

• Strong familiarity with data management tools, including enterprise repository tools, data modeling tools, data quality tools, data mapping tools, and data profiling tools.

• Solid understanding of Business Intelligence and Data Warehouse technologies (e.g., Business Objects, Netezza, Oracle, SQL Server, Informatica) Hands on experience a plus.

• Strong aptitude to learn business processes/products and the role of data within the business domain.

• Experience architecting data modernization efforts using Snowflake on Cloud (AWS/Azure)

• Strong conceptual knowledge of roles and responsibilities within BI and Data Warehousing (DA, ETL, BI, DBA, SE, QA, and PM).

• Working knowledge of Agile SDLC.

• Must be a recognized leader of data advocacy.

• Demonstrated ability to balance architectural theory with practical solutions.

• Ability to adapt quickly in a rapidly changing dynamic environment

• Ability to manage a large workload covering multiple projects and business disciplines.

• Ability to work well with people from many different disciplines with varying degrees of technical experience.

• Financial Industry experience a plus.

• Highly refined communication skills including facilitation, presentation, and documentation.

• Excellent organizational skills and results oriented.

• Execute the tactical goals for the Cards vision, Reports view, Network analytics and align the long term deliverables to the strategic goals.

• Create the solution architecture for the Debit and Credit data migration and UI reporting.

• Document the data architecture and application environment to maintain a current and accurate view of the larger data picture.

• Establish end to end vision on how the data from the legacy systems translate into the enterprise data warehouse solution.

• Establish processes for governing the identification, collection, and integration of the corporate metadata, and build solutions to assure metadata accuracy and validity.

• Assess and determine governance, stewardship, and frameworks for managing the data across the various portfolios, Credit, Debit and Risk

• Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement.

• Collaborate with project managers, business leaders and other stakeholders involving enterprise data.

• Minimum 5+ years of experience in designing and documenting conceptual, logical and physical data models, data dictionaries, entity-relationship diagrams, and metadata management in traditional relational database technologies including SQL, Oracle, or DB2.

• Minimum 3+ years of experience with BI tools, Cognos, Business Objects, Tableau etc.

• Bachelor’s Degree Computer Science, Data Science, or Engineering

• 10+ years’ experience leading highly technical resources, either directly or indirectly

• Strong background with Data engineering, Data warehouse, Data Intelligence (data mining, analytics and metrics) and API delivery.

• Experience effectively communicating with clients, vendors, teams, and senior leadership.

• Experience leading remote and offshore development teams.

• Excellent verbal and written communication skills.