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Data Architect Snowflake Medallion Architecture
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Role description
Job Description Data Architect Snowflake Medallion Architecture
Orlando FL or Seattle WA Or Burbank CA Onsite any one of the location
Role Overview
We are seeking an experienced Data Architect to lead the design and implementation of enterprisescale 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 businessaligned 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 costefficient Snowflakebased 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 starsnowflake 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
Businessready curated datasets Gold
4 Snowflake Platform Architecture
Architect Snowflake solutions leveraging
Virtual Warehouses RBAC data sharing
Data governance and security features masking rowlevel 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 DBTbased 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
Core Experience
1015 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 GCP
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 Masters degree in Computer Science Data Engineering or related discipline
Preferred Profile Proposal Positioning
Experience designing domaindriven data products with medallion architecture
Strong exposure to enterprise governance models and operating frameworks
Proven leadership in multidomain multiteam delivery environments
Role Variants for proposal structuring
Senior Data Architect Snowflake DBT
Lead Data Architect Enterprise Data Platform
Principal Data Architect Solution Architect
Skills
Mandatory Skills : Data Architecture, Snowflake
Good to Have Skills : IICS - IDMC
Other details
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual''s skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $ 110,000.00 to 150,000.00 per year
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About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
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