LEAD DATA ENGINEER - Snowflake

Happiest Minds Technologies; Bengaluru; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Happiest Minds Technologies in Bengaluru seeks a Senior Lead Data Engineer to design databases, data warehouses, and data products while leading teams.

The role emphasizes Snowflake, Azure Data Factory, and SQL optimization, plus translating business needs into scalable data solutions and communicating with both technical and non-technical stakeholders.

You will mentor engineers and collaborate with product owners to align data strategy with business objectives and drive data-driven decisions.

Qualifications

• Extensive experience in data architecture, data analysis and database design.
• Proven leadership of technical teams and projects.
• Deep expertise with Snowflake and data integration pipelines.
• Ability to translate business requirements into scalable data solutions.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Provide technical and architectural guidance to the team, enforcing processes and best practices.
• Optimize database queries and indexing strategies to enhance performance.
• Communicate design concepts to diverse audiences including technical and non-technical stakeholders.
• Collaborate with cross-functional teams to develop data strategies that support objectives.
• Mentor and train team members on data technologies and architectural principles.
• Collaborate with Product Owners and stakeholders to understand product workflows and data requirements.
• Leverage product usage insights and domain knowledge to enhance data solutions.

Skills

Snowflake

Azure Data Factory

SQL (T-SQL/MySQL)

Performance optimization

Product usage knowledge

Python data manipulation

Strong communication

Tools

SSIS

Pentaho

Power BI

Tableau

Job description

Lead Data Engineer

Years of Experience: 10-13 Years

Job Summary

We are seeking a highly skilled Senior Lead Data Engineer with extensive experience in data analysis. The ideal candidate will have a strong background in designing databases, data warehouses, and data products, with a proven ability to lead teams and communicate effectively with both technical and non-technical stakeholders. This role requires a deep understanding of Snowflake and other data technologies to optimize performance and ensure best practices are followed. The candidate should also possess strong product usage knowledge and business domain understanding to effectively align data solutions with business objectives and user needs.

Responsibilities

• Provide technical and architectural guidance to the team, enforcing processes and best practices.
• Optimize database queries and indexing strategies to enhance performance across various platforms.
• Communicate complex design concepts to a diverse audience, including technical teams and non-technical stakeholders.
• Collaborate with cross-functional teams to develop data strategies that support organizational objectives.
• Mentor and train team members on data technologies and architectural principles.
• Collaborate with Product Owners and business stakeholders to understand product workflows, business processes, and data requirements.
• Leverage product usage insights and domain knowledge to enhance data solutions and support business decision-making.

Mandatory Skills

• Expertise in Snowflake as a primary data warehousing solution.
• Proficient in Azure Data Factory (ADF) for data integration and workflow management.
• Strong SQL skills with experience in SQL Server (T-SQL) and Mysql.
• Experience in performance optimization of database queries and indexing.
• Excellent communication skills, with the ability to convey technical information to a broader audience.
• Strong understanding of product usage, business processes, and translating business requirements into scalable data solutions.

Preferred Skills

• Experience with SSIS or Pentaho for ETL processes.
• Familiarity with data visualization tools such as Power BI or Tableau.
• Knowledge of Python for data manipulation and analysis.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 10-13 years of experience in data architecture, data analysis, and database design.
• Proven leadership experience in managing technical teams and projects.
• Strong problem-solving skills and attention to detail.