Data Engineering Lead

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, LTI Mindtree — 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

Data Engineering Lead - Snowflake

Lead the future of data engineering with LTI Mindtree – drive Snowflake implementations and migrations that transform enterprise platforms.

At
LTI Mindtree
, we partner with leading enterprises to deliver transformative technology solutions. We are seeking a
Snowflake Implementation & Migration Lead
to drive large-scale data platform transformation projects, enabling our clients to unlock the full potential of their data. This is an opportunity to work with cutting-edge Snowflake capabilities, global teams, and senior client stakeholders while shaping the future of cloud-based analytics.

Summary:
In this role, you will lead end-to-end Snowflake migration projects, build semantic data models, and enable reporting solutions for small to medium-sized enterprises (SMEs). You will apply deep expertise in Snowflake's latest features, data architecture, and BI integrations while embedding modern DevOps practices. This position also offers high visibility, with direct engagement with senior client stakeholders including CIOs, Heads of Analytics, and Finance teams.

Key Responsibilities:

• Lead Snowflake migrations & implementations, including legacy warehouse modernisation, schema design, and data optimisation.
• Design and deliver semantic data models to enable self-service analytics.
• Integrate Snowflake with Power BI and other BI tools for enterprise reporting.
• Leverage advanced Snowflake features such as data sharing, marketplace, Snowpark, and performance optimisation.
• Drive DevOps & CI/CD practices, including automated testing and infrastructure as code.
• Collaborate with cloud architects (Azure, AWS, or GCP) to align with enterprise strategies.
• Ensure data governance and security best practices are embedded across platforms.
• Engage and advise senior stakeholders on data strategies and project delivery.

Requirements:

• 5+ years of data engineering experience, with at least 3 years in Snowflake implementation.
• Strong knowledge of Snowflake's latest features (Snowpark, marketplace, dynamic tables).
• Proven ability to build semantic models and integrate Snowflake with BI tools (e.g., Power BI).
• Hands-on expertise in cloud architecture (Azure, AWS, or GCP).
• Strong background in DevOps, CI/CD pipelines, and automation frameworks.
• Proficiency in SQL and ETL/ELT patterns.
• Solid understanding of data governance, security, and compliance frameworks.
• Excellent communication skills with the ability to engage both technical and business stakeholders.

Nice-to-Have:

• Experience in SME environments balancing agility and governance.
• Familiarity with Tableau, Looker, or other BI tools.
• Python or scripting skills for automation and Snowpark.
• Knowledge of data sharing and external data collaboration use cases.

Why LTI Mindtree?

• Work with global enterprise clients and senior stakeholders.
• Be part of a fast-growing data & cloud practice with real career growth.
• Access to cutting-edge Snowflake features and cloud innovation.
• Inclusive, diverse, and supportive culture.
• Competitive salary and benefits.

LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law.

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