Data Architect

2 days ago

Salisbury, Maryland, United States Peapod Digital Labs Full time
Job Title: Data Architect

As a Data Architect at Peapod Digital Labs, you will play a key role in designing and implementing a comprehensive business data product. This will involve leading the analysis, design, and implementation of data products, ensuring seamless expansion to address other business domains.

You will embed with feature teams during early design phases to consult on data, systems architecture, and API design decisions, ensuring consistent system and data models. Your responsibilities will include planning, participating, designing, reviewing, and structuring data design review sessions, ensuring all key design and compliance decisions are reviewed and approved before implementation.

You will be responsible for data model and schema documentation into governance systems, canonical models for APIs, Event Streams, and Data as a Service, and participating in defining standards for data quality and creating data test and validation plans.

As a Data Architect, you will empower Data Product Squads to follow better design paths with automated quality engineering and automation, represent the data products in the creation of enterprise data models and corporate data standards, and stay up to date on relevant technologies, plug into user groups, and understand trends and opportunities to ensure we are using the best possible data-centric techniques and tools.

You will have the ability to manage, coach, develop, and motivate a team of Data, API, and Quality Engineers, work in a cross-functional team and collaborate with multiple Data Product Squads, collaborate with Data Science teams to power the machine learning platform to support modeling and serving, and collaborate with Solution Architects from other products, Enterprise Architects to design better data products that fit to the needs of the organization.

Qualifications include a 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. You will have 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, and 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, 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, and preferred qualifications include postgraduate 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, and knowledge of Data Catalog and Lineage tools.

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