Snowflake Data Architect

Experience: Not Available to Not Available years

Location: Bengaluru, India

Skills: Snowflake, Dbt, SQL, Python, Data Governance, Data Security, Data Compliance, Data Modeling, Performance Tuning

Job Summary The Snowflake Data Architect leads the design and implementation of enterprise-scale data solutions using Snowflake and related technologies. This role provides architectural leadership, ensuring solutions are robust, scalable, and aligned with business strategy. The architect drives innovation, sets technical direction, and enforces data governance, enabling the organization to leverage data assets for strategic advantage.

Key Responsibilities

- Provide Architectural Leadership By Designing Enterprise Data Platforms Using Snowflake, Ensuring Alignment With Business Objectives And Industry Best Practices.

2.

Architect And Optimize Data Pipelines And

Transformation Workflows Using Dbt And Sql To Enable Effective, Scalable, And Reliable Data Processing.

3.

Define And Enforce Data

Governance, Security, And Compliance Standards Within Snowflake Environments, Establishing Architectural Guidelines And Review Processes.

4.

Integrate Snowflake With

Python-Based Data Engineering Solutions To Support Advanced Analytics And Machine Learning Initiatives.





- Collaborate With Business Stakeholders To Translate Requirements Into Scalable Snowflake Data Models And Solutions That Drive Strategic Initiatives.

6.

Lead The Evaluation And Adoption Of

Emerging Snowflake Features And Related Technologies To Ensure The Data Architecture Remains Current And Competitive.

7.

Mentor And Guide Data Engineering Teams In Snowflake Best Practices, Fostering Technical Excellence And Knowledge Sharing Across The Organization.

8.

Oversee Architectural Reviews And Ensure All

Design Deliverables Adhere To Organizational And Industry Standards.

Skill Requirements

- Architectural Leadership In Designing And Implementing Complex Data Solutions Using Snowflake

2.

Advanced Proficiency In Data

Modeling, Performance Tuning, And Security Within Snowflake

- In-Depth Expertise In Dbt For Data Transformation And Workflow Orchestration

4.

Solid Command Of Sql For Data

Manipulation, Optimization, And Analytics

5.

Advanced Proficiency In Python For Data

Engineering And Integration Tasks

6.

Strong Understanding Of Data

Governance, Compliance, And Security Best Practices

Other Requirements

1.

Snowflake Snowpro Advanced Architect

Certification (Optional But Valuable)

2.

Dbt Certified

Developer (Optional But Valuable)

📌 Snowflake Data Architect (India)
🏢 HCL Technologies
📍 India