The Data Architect is a senior hands-on technical leadership role responsible for defining designing and delivering data architecture and data products across Finance Supply Chain Manufacturing Sales and Service domains. This role combines deep technical execution with strategic architectural leadership to enable trusted analytics self-service BI and advanced analytics.
Define own and evolve data architecture including conceptual logical and physical data models.
Act as a hands-on architect contributing directly to solution design data modeling and implementation.
Design and deliver scalable governed data products aligned to business domains and enterprise standards.
Lead architecture for cross-functional initiatives spanning Finance Supply Chain Manufacturing Sales and Service.
Architect design and optimize data platforms using Databricks and Snowflake.
Establish and enforce data modeling standards semantic layers and analytics-ready data structures.
Develop enterprise and domain data models using Erwin data modeling tool.
Enable self-service and executive analytics through well-designed data layers for Tableau and Power BI.
Partner with Data Governance teams to implement metadata management data quality lineage and compliance practices.
Mentor and provide technical leadership to data architects data engineers and analytics engineers.
Collaborate with business leaders product owners and technology teams to translate business requirements into data solutions.
Typically requires a minimum of 12 years of related experience with a Bachelors degree; or 8 years and a Masters degree; or a PhD with 5 years of experience; or equivalent experience.
Extensive experience in data architecture data engineering and analytics architecture.
Proven hands-on experience designing and delivering data platforms and data products at scale (leveraging SAP S/4 Siemens Teamcenter(PLM) /Camstar (MES) Salesforce Workday transactional systems)
Strong expertise in data modeling semantic modeling and analytics enablement.
Demonstrated experience working across multiple business domains (Finance Supply Chain Manufacturing Sales Service).
Excellent communication and stakeholder management skills.
Cloud Platforms: AWS Microsoft Azure Google Cloud Platform (GCP)
Data Platforms: Databricks Snowflake
Data Modeling & Architecture: Erwin Lucid dimensional modeling semantic modeling
Analytics & BI: Tableau Power BI
Languages & Engineering: DBT SQL Python ETL/ELT orchestration frameworks
Governance: Data catalog metadata management data quality lineage
Experience with domain-oriented or data product-based operating models.
Familiarity with advanced analytics AI/ML enablement and analytics platforms.
Experience working in global distributed teams using Agile delivery methodologies.
Required Experience:
Staff IC