Title: Data Architect
Location: Torrance, Ohio
Job Description:
Responsibilities
• Design the structure and layout of data systems, including databases, warehouses, and lakes
• Select and implement database management systems that meet the organization’s needs by
defining data schemas, optimizing data storage, and establishing data access controls and
security measures
• Deliver exceptional business value by enhancing data pipeline performance, ensuring timely
orchestration, and upholding data governance.
• Translates high-level business requirements into data models and appropriate metadata, test
data, and data quality standards
• Manages senior business stakeholders to secure strong engagement and ensures that the
delivery of the project aligns with longer-term strategic roadmaps
• Leads and participates in the peer review and quality assurance of project architectural artifacts
• Defines and manages standards, guidelines, and processes to ensure data quality
• Works with IT teams, business analysts, and data analytics teams to understand data
consumers’ needs and develop solutions
• Evaluates and recommends emerging technologies for data management, storage, and analytics
Requirements
• A bachelor’s degree in computer science, data science, engineering, or related field
• At least five years of relevant experience in design and implementation of data models for
enterprise data warehouse initiatives
• Experience leading projects involving data lakes, data warehousing, data modeling, and data
analysis
• Proficiency in the design and implementation of modern data architectures and concepts such
as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern
data warehouse tools (Redshift, Snowflake, Databricks)
• Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL,
Couchbase, MongoDB, etc.
• Understanding of entity-relationship modeling, metadata systems, and data quality tools and
techniques
• Ability to assess traditional and modern data architecture components based on business needs
• Experience with business intelligence tools and technologies such as Informatica, Power BI, and
Tableau
• Exceptional communication and presentation skills
• Strong analytical and problem-solving skills
• Ability to collaborate and excel in complex, cross-functional teams involving data scientists,
business analysts, and stakeholders
• Ability to guide solution design and architecture to meet business needs