Senior Specialist - Architecture (Sr Snowflake Data Platform Architect)

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Senior Specialist - Architecture (Sr Snowflake Data Platform Architect)

• Job ID: 881820
• 14 - 16 Years
• 1 Opening
• Berkeley Heights - New Jersey - USA

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Role description

Role Summary:

We are seeking a Senior Snowflake Data Platform Architect to serve as a senior subject matter expert SME supporting a modern enterprise analytics platform built on Snowflake. This role partners closely with existing Platform Architects and senior technical leaders contributing deep expertise in analytics focused data architecture modeling reporting enablement ELT based system onboarding and enterprise data integration.

This individual is not the final architectural authority but a highly experienced practitioner who works alongside platform architects engineering teams and business stakeholders to onboard new data sources refine platform patterns and ensure Snowflake is used effectively for enterprise analytics and reporting use cases

Scope Accountability Impact Senior Level

This role operates as a Senior individual contributor within the enterprise data platform organization The Senior Snowflake Data Platform Architect contributes hands on expertise while executing within established architectural guardrails defined by Platform Architects

Typically, 7 to 10 years of experience in data engineering analytics or data architecture roles

3 years of hands on experience working with Snowflake in enterprise environments

Supports onboarding of individual systems or domains into Snowflake

Designs analytics ready data models and semantic views aligned to existing platform standards

Escalates major architectural trade offs and risks to Platform Architects

Key Responsibilities:

Snowflake Platform Expertise

Act as a Snowflake subject matter expert partnering with Platform Architects to operationalize analytics architectures

Provide hands on guidance on schema design workload isolation performance tuning and cost optimization

Apply Snowflake best practices across ingestion transformation and consumption layers

System Onboarding Data Pipelines

Partner with technical teams and business stakeholders to onboard new source systems into Snowflake

Provide architectural guidance on ELT based ingestion and transformation patterns

Collaborate on pipelines using tools such as CDC Data Sync Qlik Replicate Azure Data Factory ADF OpenFlow or similar

Help define standards for incremental loading CDC data quality and reliability

Analytics Data Modeling

Design analytics optimized data models including star schemas fact dimension tables and reporting ready datasets

Apply modern patterns such as medallion architectures and curated semantic views

Reporting BI Enablement

Ensure Snowflake datasets are optimized for BI tools such as Power BI and Sigma

Partner with reporting teams to ensure metric consistency and reduce downstream modeling complexity

Enterprise SaaS Data Integration

Support analytical integration of data from systems such as Salesforce strong plus for Salesforce Data Cloud Data 360 SAP Workday Jira ServiceNow and similar platforms

Translate operational and SaaS native data models into analytics ready Snowflake structures

Collaboration Emerging Capabilities

Work closely with Platform Architects data engineering teams analytics teams and business stakeholders

Maintain foundational familiarity with Snowflake Cortex and partner with AI specialists when applicable

Required Qualifications:

Strong hands on experience with Snowflake as an enterprise analytics platform

Advanced SQL skills and strong background in relational data warehousing

Proven experience designing dimensional models and semantic data layers

Experience enabling BI platforms such as Power BI or Sigma

Experience working with ELT based ingestion pipelines and enterprise data tooling

Preferred Strong Plus Qualifications

Experience with Salesforce Data Cloud Data 360 and Salesforce data models

Exposure to Snowflake Cortex nonspecialist

Experience operating in large multiteam enterprise environments

Snowflake certifications such as SnowPro Core SnowPro Advanced Architect and or additional advanced or specialty certifications are a plus

Skills

Mandatory Skills: Snowflake Cortex, ETL Concepts, Snowflake, Snowflake AI/ML, Analytics Data Modeling, Reporting BI Enablement, SaaS Data Integration.

Job Title: Snowflake Data Platform Architect

Location: Berkeley Heights, NJ (5 Days onsite/week)

Other details

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:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

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: $ 98,015.00 to 146,600.00 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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