IT Architect Data Product Solutions

Overview

On Site
Hybrid
Depends on Experience
Full Time

Skills

Mergers and acquisitions
Finance
Legal
Sustainability
Electronic commerce
Data engineering
Analytics
FOCUS
Information Technology
Innovation
Continuous improvement
SAP BASIS
Systems analysis/design
Business data
Systems architecture
Design review
Accountability
Regulatory Compliance
Data modeling
Documentation
Quality assurance
Management
API
Cross-functional team
Data Science
Modeling
Collaboration
Computer science
Onboarding
Data architecture
ER/Studio
ERwin
Problem solving
Critical thinking
Streaming
Apache Kafka
Database
Extract
transform
load
Databricks
SQL
Microsoft SSAS
Transact-SQL
OLTP
OLAP
NoSQL
Big data
Storage
Microsoft SQL Server
SQL Azure
Data warehouse
PostgreSQL
Cosmos-Db
Microsoft Azure
Data Lake
Apache Hadoop
Apache Hive
MongoDB
MySQL
Neo4j
Apache Cassandra
Apache HBase
MPP
Communication
Presentations
Leadership
Training
Agile
Team leadership
Machine Learning (ML)
Cloud computing
Data Visualization
Microsoft Power BI
Tableau
DevOps
Continuous integration
Continuous delivery
Master data management
Mobile device management
Data quality
Retail

Job Details

Category/Area of Expertise: Data-Science & Analytics
Job Requisition: 383459_external_USA-MA-Quincy
Address: USA-MA-Quincy-1385 Hancock Street
Store Code: Arch/Data - Business Intell & Analy (5119250)

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. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Primary Purpose:

The Data Product Architect will embed themselves in Data Product teams and support all aspects of data ingestion, data engineering, design, data modeling, data as a service and machine learning, guiding engineers, and analytics teams such that the best decisions are being made at every turn and better-quality data products are produced . The primary focus of the Data Product Architect is data modeling (business, logical, and physical), identification, design, definition, transfer, and access. The person in this position will have a consistent track record of working with multifaceted stakeholders by planning, designing, deploying, and sustaining cloud and on-premises data products and solutions. Proven knowledge of data, multiple information technology and software domains is very important. Shown ability to document and communicate decisions will be a key indicator of success, as will be an appetite for innovation, change, and continuous improvement.

Applicants must be currently authorized to work in the United States on a full-time basis until the end of their appointment.

Duties and Responsibilities:
  • Lead the analysis, design, and implementation of a comprehensive business data product, with results that can be seamlessly expanded to address other RBS business domains.
  • Embed with feature teams during early design phases to consult on data, systems architecture, and API design decisions, ensuring consistent system and data models.
  • Plan, participate, design, review, and structure data design review sessions. Take accountability for ensuring all key design and compliance decisions are reviewed and approved before implementation following all data architecture guidelines set.
  • Ensuring adherence to proper data design and security for new cloud data platform and data products and new enhancement features.
  • Responsible for data model and schema documentation into governance systems.
  • Responsible for canonical models for APIs, Event Streams, and Data as a Service.
  • Participate in defining standards for data quality and creating data test and validation plans.
  • 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.
  • 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.
  • Ability to manage, coach, develop and motivate a team of Data, API, and Quality Engineers.
  • Ability to 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.
  • Collaborate with Solution Architects from other products, Enterprise Architects to design better data products that fit to the needs of the organization.
Qualifications:
  • 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:
  • Post graduate degree advanced training and or certifications in relevant field/s of study preferred.
  • 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.
#LI-CW1 #LI-Hybrid #DiceJobs

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Ahold Delhaize USA Services, LLC