Snowflake Matillion Architect

Job Title

Location

Employment Type

Start Date

Working Hours

Dual Employment

About the Role

8-10 years

Key Responsibilities

• Lead the design and development of enterprise-level data architecture using Snowflake.
• Define and implement best practices for data modeling, data integration, and performance tuning.
• Develop and maintain scalable ETL/ELT pipelines using Matillion.
• Collaborate with business and technical stakeholders to understand data needs and deliver robust solutions.
• Ensure data security, governance, and compliance best practices are integrated into architecture.
• Contribute to the continuous improvement of data architecture frameworks and methodologies.
• Provide expert-level troubleshooting and performance optimization support.
• Mentor junior data engineers or developers as needed.

Minimum Qualifications & Requirements

• 5+ years

  of proven experience as a Data Architect or in a similar technical leadership role.

• Expert-level proficiency in Snowflake

  , with a

  Snowflake Advanced Data Architect Certification

  .
• Strong experience in

  ETL/ELT development using Matillion

  , with

  Matillion certification

  .
• Solid understanding and hands-on experience in

  data modeling techniques

  (star schema, snowflake schema, normalization, etc.).
• Advanced knowledge of

  data analytics

  and business intelligence processes.
• Proficiency in working with large-scale datasets and optimizing data pipelines.

• Excellent verbal and written communication skills in English

  —you will be interacting directly with an international client base.
• Ability to work independently and deliver high-quality results in a fully remote setting.

Technology Stack

• Primary Technology

  :

  Snowflake (Expert)

• Secondary Technology

  :

  Matillion

• Skill Areas

  :

• Data Management & Analytics

• Data Modeling

• ETL/ELT Design

• Performance Tuning and Optimization

Soft Skills Required

• Fluent English communication (both written and verbal)
• Ability to effectively present and explain complex data architectures to non-technical stakeholders
• Strong analytical and problem-solving skills
• Self-motivated and disciplined to work remotely with international teams
• Collaborative attitude and a consultative approach

Interview Process

1. Initial Screening

   : 15-minute HR conversation

2. Technical Assessment

   : May include a practical test or case study

3. Client Interview

   : Technical deep-dive with one or two client-side stakeholders