Snowflake Data Architect

About US: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. Job Title: Snowflake Data Architect Work Location Toronto, CA(Remote) Job Description: Key Responsibilities Design and implement scalable data architectures using Snowflake Develop optimize and maintain ETL/ELT pipelines for data ingestion and transformation Model and design data warehouses data marts and schemas StarSnowflake schema Optimize Snowflake performance cost and query efficiency Integrate Snowflake with external systems APIs cloud platforms BI tools Monitor data quality troubleshoot issues and ensure data reliability Implement data security access controls and governance policies Collaborate with data engineers analysts and business teams Automate deployment using CICD pipelines Mentor junior developers and provide technical leadership 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.

The Snowflake Data Architect will design and implement scalable data architectures using Snowflake and develop, optimize, and maintain ETL/ELT pipelines for data ingestion and transformation. They will also collaborate with data engineers, analysts, and business teams to ensure data quality and reliability.

The job requires expertise in designing data warehouses, optimizing Snowflake performance, and implementing data security measures. Candidates should also have experience with data integration and automation using CICD pipelines.

• 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

Identified from the job description. Confirm important requirements above.

• Snowflake
• Data Architecture
• ETL
• ELT
• Data Warehousing
• Data Marts
• Schemas
• Performance Optimization
• Data Integration
• APIs
• Cloud Platforms
• BI Tools
• Data Quality
• Data Security
• Access Controls
• Governance Policies

• Technology
• Data & Analytics
• Software
• Consulting

Minimum experience

5+ years

Apply by

Aug 7, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Toronto, Ontario, Canada

Seniority

Mid-Senior level

Application method

Direct apply is available