Sr. Data Architect

Job Title: Sr. Data Architect

Job Location: Marysville Ohio 43040 Hybrid

Onsite Requirements:

• 7+ years of experience in data management working as a data architect with a good foundation of experience in data modeling/data structures (star schemas, OLAP cubes, etc.)


• 7+ years of experience in Data Analysis, Information Management and Business Intelligence


• 5+ years of advance knowledge of designing & working with multi-dimensional data modeling, i.e., entity relationships, star/snowflake schemas, hierarchies, attributes, measures, granularity/aggregation

Job Description:

• We're on the lookout for a visionary Senior Data Architect to join our Data Architecture team. In this position, you will lead play a vital role in defining/fine-tuning data architecture standards and best practices, including the vision, strategy, and principles for managing and interacting with governed data.


• In this pivotal role, you'll be instrumental in crafting high-performance data pipelines, ensuring data integrity, and expanding data access and governance.


• You'll work cross-functionally with diverse teams, including data analysts, business analysts, and stakeholders, to understand data requirements and create scalable and efficient data models and reporting systems.


• You'll define and achieve our strategic objectives with business teams and senior leader to ensure we're meeting strategic goals and establishing global benchmarks for data architecture.


• Your expertise will help Honda drive the development of high-performance data systems, uphold data integrity, and broaden the horizons of data utilization and governance.

Qualifications, Experience, and Skills:
Hybrid: At least 4 days at the local office
Education:

• An undergraduate or graduate level degree in computer science, applied mathematics / statistics, electronics / electrical engineering or similar field of study.

Technical qualifying skills:

• 7+ years of experience in data management working as a data architect with a good foundation of experience in data modeling/data structures (star schemas, OLAP cubes, etc.)


• 7+ years of experience in Data Analysis, Information Management and Business Intelligence


• 5+ years of advance knowledge of designing & working with multi-dimensional data modeling, i.e., entity relationships, star/snowflake schemas, hierarchies, attributes, measures, granularity/aggregation

Skills:

• Proven experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, Google Cloud Platform), 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, RDS, DynamoDB, etc.


• Knowledge of master data management, data cataloging and organizing data using multi-dimensional analysis.


• Experience with tools like Power BI, Tableau, BO, QuickSight, Synapse, Qlik.


• Ability to learn and adopt new technologies, especially in advance data analytics and AI/ML


• Familiar with applicable data privacy practices and laws


• Dynamic, self-driven professional with a strong sense of ownership


• Leader who demonstrates, inspires, and fosters team success and individual growth and a team player who has a proven ability to build trust and influence.


• Exceptional communication and presentation skills

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