Data Architect

Responsibilities:

Lead the development and build out of Data Management solutions to support the unified commerce systems
Reviews business context for solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution.
Initiate both group and one-on-one meetings with senior management in order to gain a clear understanding of business drivers and functional requirements
Defining Data Architecture, standards, industry best practices and communicating across engineering teams to ensure adoption and governance
Assist in setting direction and driving change in information/data technologies for optimal solutions based on type of workload
Design conceptual/logical data models, data flows and source to target mappings
For the assigned domain, maintain overall data models, lineage, data dictionary, glossary etc. by using enterprise tools to be consistent across all other data domains and products
Lead architecture, design and code reviews with engineering teams
Provides analysis of security protection technologies as necessary
Performance tuning and optimizing data processing/consumption workloads
Coordinate with business and analytics needs to identify future requirements and solutions

Desired Qualifications & Experiences:
10+ years’ experience in software engineering & technology (5+ years in data architecture design and development)
Proven technical leadership and skills in creating, leading and implementing Data Management architecture for large enterprise scale applications
Experience with Enterprise Data Strategy, Data Modeling, Data Architecture and dealing with various structured and unstructured data at scale
Working knowledge of various types of database management systems and approaches to solve OLTP and OLAP workloads (including but not limited to traditional RDBMS systems, NoSQL, BigData and modern cloud native data warehousing solutions)
Extensive knowledge around various data integration patterns against databases (inbound and outbound) to solve for real-time, and batch workloads
Familiarity with data visualization tools like PowerBI
Experience in AI/ML, data science and statistical/machine is a plus
Excellent oral and written communication
Analytical and problem-solving skills
Comfortable with ambiguity and time spent outside of comfort zone acquiring new skills
Technically creative and open-minded
Degree in Computer Science or Engineering fields, or equivalent experience