Snowflake Data Engineering Manager

Careernet; Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Careernet seeks a senior data engineering/architectural leader to design and implement scalable data systems using Snowflake, DBT and SQL. You will establish data integration patterns across ERP, POS, CRM, vendor and third-party sources, and model data to support inventory, sales, pricing and omnichannel analytics.

You will collaborate with business and technology stakeholders to translate analytical needs into maintainable data products and reporting solutions, while mentoring a team of data

Qualifications

• 10-14 years of experience in data engineering, data architecture or business intelligence, including leadership responsibility.
• Strong hands-on experience with Snowflake, DBT, SQL and ETL/ELT development.
• Expertise in data architecture, data warehousing, dimensional modeling and scalable cloud data platforms.
• Experience developing BI solutions and semantic reporting models using Power BI.
• Ability to design reliable data pipelines and optimize warehouse workloads.

Responsibilities

• Lead the design and implementation of scalable data architecture and engineering solutions using Snowflake, DBT and SQL.
• Establish data integration and transformation patterns for ERP, POS, CRM, vendor and third-party data sources.
• Design trusted data structures and analytical models supporting retail use cases such as inventory, sales, pricing, promotions and omnichannel customer analytics.
• Partner with business and technology stakeholders to translate analytical requirements into maintainable data products and reporting solutions.
• Lead and mentor data engineers and analysts while setting standards for data modeling, transformation, documentation and delivery quality.

Skills

Data architecture

Snowflake

Power BI

ETL

DBT

Data Warehousing

Medallion Architecture

Data quality

Data Governance

SQL

Education

Bachelor's or Master's degree in Computer Science/Information Systems/Engineering or related field

B.Tech/M.Tech or dual-degree qualifications acceptable

Tools

Snowflake

DBT

Power BI

Job description

Key Skills:

Data architecture, Snowflake, Power BI, ETL, DBT, Data Warehousing, Medallion Architecture, Data quality, Data Governance, SQL

Roles and Responsibilities:

• Lead the design and implementation of scalable data architecture and engineering solutions using Snowflake, DBT and SQL.
• Establish data integration and transformation patterns for ERP, POS, CRM, vendor and third‑party data sources.
• Design trusted data structures and analytical models supporting retail use cases such as inventory, sales, pricing, promotions and omnichannel customer analytics.
• Partner with business and technology stakeholders to translate analytical requirements into maintainable data products and reporting solutions.
• Lead and mentor data engineers and analysts while setting standards for data modeling, transformation, documentation and delivery quality.

Skills Required:

• 10 - 14 years of experience in data engineering, data architecture or business intelligence, including leadership responsibility.
• Strong hands‑on experience with Snowflake, DBT, SQL and ETL or ELT development.
• Expertise in data architecture, data warehousing, dimensional modeling and scalable cloud data platforms.
• Experience developing business intelligence solutions and semantic reporting models using Power BI.
• Ability to design reliable data pipelines, optimize warehouse workloads and support secure, high‑volume analytical environments.

Good to Have:

• Experience with data governance and data quality practices in enterprise data environments.

Education:

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or a related discipline; B.Tech, M.Tech or dual‑degree qualifications are acceptable.