Data Product Architect

2 days ago

Salisbury, Maryland, United States Peapod Digital Labs Full time
Job Summary:

The Data Product Architect will play a key role in embedding themselves in Data Product teams and supporting all aspects of data ingestion, data engineering, design, data modeling, data as a service, and machine learning. This individual will guide engineers and analytics teams to make informed decisions and produce high-quality data products.

Key Responsibilities:

Lead the analysis, design, and implementation of a comprehensive business data product.
Embed with feature teams during early design phases to consult on data, systems architecture, and API design decisions.
Plan, participate, design, review, and structure data design review sessions.
Ensure all key design and compliance decisions are reviewed and approved before implementation following all data architecture guidelines set.
Responsible for data model and schema documentation into governance systems.
Represent the data products in the creation of enterprise data models and corporate data standards.

Requirements:

Master's Degree in Computer Science or Technical field and Master's Degree in Technology and/or Business-related field; equivalent trainings/certifications/experience equivalency will be considered.
8 or more years of equivalent experience in relevant job or field of technology.
5 or more years of equivalent experience in an advanced role or technical capacity, leading teams directly or indirectly.
5 or more years' experience directly responsible for guiding, training, or onboarding team members in relevant technologies, capabilities, or skills.
Experience designing and solutioning modern data platforms and solutions.
Strong experience creating data architecture, data models using tools like ER Studio, ERWIN etc.
Hands-on experience with cloud-based platforms like Azure Data Stack (Azure SQL, Data Factory, Analysis Services, Databricks, Azure DevOps, Azure EventHubs, etc.).
Customer focused and Solutions Oriented mindset.
Exceptional problem solving and critical thinking skills.
Hands-on Experience with Data Streaming technologies like Kafka
Hands-on Experience with NoSQL databases.
Experience with ETL tools, Databricks, SQL, SSAS and T-SQL.
Large scale design, implementation, and operations of OLTP, OLAP, DW, NoSQL and big data storage technologies such as SQL Server, Azure SQL, Azure SQL DW, PostgreSQL, CosmosDB, RedisCache, Azure Data Lake Store, Hadoop, Hive, MongoDB, MySQL, Neo4j, Cassandra, HBase.
Experience with MPP architecture.
Exceptional written and verbal communication and presentation skills.
Leadership and teamworking skills.
Preferred qualifications include post graduate degree advanced training and or certifications in relevant field/s of study, 5 or more years' experience in Agile teams and Product/Platform based operating model, 5 or more years' experience in leading teams or advancing technical capability in teams, experience in retail or grocery preferred, experience with Machine learning frameworks, Cloud Solution Architect or equivalent certification, Hands-on experience with Data Visualization tools like PowerBI, Tableau, etc., Knowledge of DevOps processes (including CI/CD) and Infrastructure as code fundamentals, Knowledge of master data management (MDM) and data quality tools and processes, Knowledge of Data Catalog and Lineage tools.

What We Offer:

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. When considered together, the companies of Ahold Delhaize USA comprise the largest grocery retail group on the East Coast and the fourth largest grocery retail group in the nation, serving millions of omnichannel customers each week.

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