Snowflake/DBT/Cortex and Data Products

LTM; West Virginia; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive Medical Plan Covering M

Short Term and Long-Term Disability

401(k) Plan with Company match

Life Insurance

Vacation Time, Sick Leave, Paid Ho

Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking a data engineering professional to design Gold layer data models and data products for foundational aggregated consumer data across US operations. The role emphasizes Snowflake and Snowpark in building scalable, cost-aware data solutions.

You will collaborate with domain teams to translate business use cases into reusable data products, establish data quality lineage, governance standards, and enable architecture aligned with Medallion data design for high performance and

Qualifications

• Experience designing data products using Medallion architecture.
• Experience with regulated data (BFS) preferred.
• Strong knowledge of Snowflake, Snowpark and SQL.
• Ability to translate business use cases into data products.

Responsibilities

• Design Gold layer data models and data products.
• Define transformation patterns using SQL Snowpark and standards.
• Drive performance, cost optimization and scalability in Snowflake.
• Establish data quality, lineage and governance standards.
• Enable AI Cortex-ready data products.
• Collaborate with domain teams to translate business use cases into data products.

Skills

Snowflake

SQL

Snowpark

Data modeling

Data product design

Medallion architecture

Performance tuning

Data governance

Job description

Role Description

Key Responsibilities

• Design Gold layer data models data products foundational aggregated consumer
• Define transformation patterns SQLSnowpark and standards
• Drive performance cost optimization and scalability in Snowflake
• Establish data quality lineage and governance standards
• Enable AICortexready data products
• Work with domain teams to translate business use cases into data products

Skills

• Snowflake SQL Snowpark strong data modeling
• Data product design Medallion architecture
• Performance tuning data governance

Experience

• Experience in BFS regulated data preferred
• 815 years in Data Engineering Data Architecture

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

• 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.