Senior Snowflake Data Engineer

Role description

Senior Snowflake Data Engineer

Location Richardson TX Onsite

We are looking for a Senior Data Platform Engineer Candidate will design and operate data pipelines that connect heterogeneous source systems normalize data into consumptionready models in Snowflake and build AIpowered agents that surface intelligence across the platform

Core Responsibilities

Snowflake engineering Design schemas write performant SQL manage roles warehouse sizing and implement change management practices

ETL ELT development Build and maintain pipelines that ingest from diverse sources APIs databases event streams and normalize data for BI and downstream consumers

AI agent development Leverage Snowflake Cortex and AI agent frameworks to build intelligent data products and automate analytical workflows

Backend API connectivity Develop backend integrations with internal and thirdparty systems via REST APIs and backend services

Required Skills

Snowflake Handson experience building and optimizing data models writing advanced SQL PIVOT GROUPING SETS ROLLUPCUBE and managing Snowflake environments in production

Multisource integration Proven ability to connect and ingest data from heterogeneous sources including relational databases REST APIs SaaS platforms and event streams

ETL ELT design Experience designing normalized schemas and transformation pipelines that produce clean consumptionready data models starsnowflake schema dimensional modeling

Python Strong proficiency in Python for data engineering tasks pipeline orchestration data transformation API clients and scripting automation

AI agents within Snowflake Familiarity with Snowflake Cortex LLM functions and agentbased patterns for building intelligent datadriven workflows inside the Snowflake ecosystem

Backend integration patterns Practical experience building backend services and integrations using Python REST APIs and related tooling authentication pagination error handling retry logic

Additional skills

PostgreSQL relational databases Working knowledge of PostgreSQL or equivalent RDBMS including query optimization indexing and schema design patterns

Go Golang Experience building backend services or microservices in Go is a strong differentiator

Cloud data infrastructure Familiarity with Azure or AWS data services eg Azure Data Factory Event Hubs S3 as source or orchestration layers

Data observability testing Experience with data quality frameworks dbt tests or observability tooling Great Expectations Monte Carlo etc

Youre a selfdirected engineer who thrives at the intersection of data engineering and platform thinking You can navigate ambiguous requirements design for scale and communicate clearly across engineering and product stakeholders You care about data quality documentation and building systems that other teams love to consume

Skills

Mandatory Skills : ETL Concepts, Python for DATA, Snowflake
Good to Have Skills : AWS S3, Azure Data Factory, PostgreSQL, Python - Data Science, Snowflake AI/ML

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.

Benefits
Compensation range: $100,000.00 to $125,000.00 per hour
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/