Senior Architect (Technical)

Essential Duties and Responsibilities
• Collaborate with business stakeholders to understand data needs and translate them into technical solutions
• Requirements gathering, defining project scope, and structuring it into actionable phases
• Build detailed architecture diagrams such as data models, data flow diagrams, data mappings, and data dictionaries for the EDW
• Consult, architect and design data integrations and pipelines for data migration projects
• Integrate disparate data models into coherent enterprise data models.
• Develop data strategies and communicate future strategy and vision
• Demonstrate advanced data strategy and architecture through execution of proofs of concept
• Develop an understanding of data processes and data dependencies; create data dictionaries and business glossaries to document data lineages, data definitions and metadata for all business-critical data domains.
• Promote use of modern technologies and frameworks
• Develop and own strategic roadmaps and ensure they remain in sync with business strategy goals
• Assist in the development, execution, and supervision of plans, policies, programs, and practices
• Assist in issue resolution, measuring and tracking data quality issues
• Creating and maintaining data management frameworks, data management SOPs, standards and guidelines, and control processes
• Perform other duties as assigned.

Qualifications

The requirements listed below are representative of the qualifications necessary to perform the job.

A. Education and Experience
• Bachelor's degree (or foreign equivalent) in Computer Science, Data Science, or a related field.
• 5+ years of experience with information modeling, information visualization, data modeling, data management technologies, data integration, data sourcing, data analytics, data warehousing, metadata, semantics and ontologies.
• Experience architecting data products in Snowflake or other cloud data platforms
• 3+ years experience developing AWS data pipelines (Glue, Kinesis, S3, etc.)
• 5+ years in ELT or data warehouse data loading design and development. Experience with DBT a major plus.
• Familiarity with modern data management concepts including Cloud-based Datawarehousing, Big Data stack, NoSQL, in-memory DBMS and data caching; graph databases.
• Familiarity and experience in data protection and information security.
• Strong understanding of large scale system, information and technology architectures, including application integration patterns, messaging, service-oriented architecture, information models, and data lineage.
• Hands-on experience with data and process modeling tools (e.g., ERWin,ER Studio, Lucidchart), and working knowledge of programming languages such as: Python, etc.
• Demonstrated ability to work individually and as a part of the team in a collaborative manner.
• Experience with Agile/Scrum and SDLC.
• Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection.