Mandatory Skills : Data Architecture, Snowflake
Good to Have Skills : IICS - IDMC
Role Overview
We are seeking an experienced Data Architect to lead the design and implementation of enterprise scale data platforms on Snowflake with strong expertise in data modeling and medallion architecture Bronze Silver Gold layers
The role will drive endtoend data architecture governance and solution design ensuring scalable secure and business aligned data products across domains
Key Responsibilities
1 Enterprise Data Architecture
Define and implement endtoend data architecture strategy aligned to business objectives
Design scalable secure and cost-efficient Snowflake based architectures AI upskillion Status Meeting
Establish reference architecture standards and best practices for data platforms
2 Data Modeling Semantic Layer
Lead design of enterprise data models conceptual logical physical
Define dimensional models star snowflake schema conformed dimensions and KPIs
Build and govern semantic layers for analytics BI and AI consumption
3 Medallion Architecture Ownership
Architect and define Bronze Silver and Gold layers for multiple data domains
Design data transformation frameworks STTM and reusable data products
Establish standards for
Data ingestion Bronze
Data cleansing harmonization Silver
Business ready curated datasets Gold
4 Snowflake Platform Architecture
Architect Snowflake solutions leveraging
Virtual Warehouses RBAC data sharing
Data governance and security features masking row level access AI upskillion Status Meeting
Define performance scalability and cost optimization strategies
5 Data Engineering ETLELT Strategy Mandatory Tools
Define architecture for scalable ETLELT pipelines using IICS and DBT mandatory
Establish DBT based transformation frameworks across Bronze Silver Gold layers
Design integration patterns using Informatica Intelligent Cloud Services IICS for ingestion and orchestration
Drive standardization of
Reusable pipelines
Data transformation templates
Deployment and CICD practices
6 Data Governance Security Quality
Design and implement
Enterprise data governance frameworks
Access control and approval workflows RBAC policies Data Anae Line ERR Meeting
Data lineage metadata management and data quality controls Data Anae Line ERR Meeting
Ensure compliance with data security and privacy standards
7 Stakeholder Engagement Leadership
Conduct architecture workshops requirement discovery and solution design sessions AI upskillion Status Meeting
Translate business requirements into technical architecture and implementation roadmap
Provide technical leadership and governance across multiple teams
Mentor data engineers and modelers drive architectural reviews and standards
Required Skills Experience
10-15 years in Data Engineering Data Architecture
Proven experience designing largescale enterprise data platforms
Strong expertise in
Snowflake architecture and ecosystem
Data modeling dimensional semantic design
Medallion architecture implementation
Mandatory Technical Skills
Strong handson expertise in
Snowflake architecture performance tuning security
IICS Informatica Intelligent Cloud Services Data integration orchestration
DBT Data Build Tool Transformation across medallion layers
Proficiency in
SQL and advanced data transformations
Cloud platforms AWS Azure Google Cloud Platform
Nice to Have
Experience in enterprise data marketplace data product architecture
Exposure to
AIML enablement and Snowflake Cortex integrations Data Anae Line ERR Meeting
Metadata catalog tools Alation Collibra
Experience in largescale migration and modernization programs AI upskillion Status Meeting
Educational Qualification
Bachelors or Master s degree in Computer Science Data Engineering or related discipline
Preferred Profile Proposal Positioning
Experience designing domain driven data products with medallion architecture
Strong exposure to enterprise governance models and operating frameworks
Proven leadership in multidomain multiteam delivery environments
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.