Chief Data Architect

Are you a seasoned data professional seeking a new challenge? We are looking for an experienced Data Engineer to join our team and help shape the future of our data infrastructure.

This role offers the chance to work on exciting projects, collaborate with talented colleagues, and grow professionally in a dynamic environment. As a Data Engineer, you will be responsible for designing and implementing scalable, high-performance data pipelines using Snowflake and dbt, defining architectural best practices, and driving data transformation at scale.

You will work closely with clients to translate business needs into robust data solutions and play a key role in mentoring junior engineers, enforcing standards, and delivering production-grade data platforms.

• Architect and implement modular, test-driven ELT pipelines using dbt on Snowflake.
• Design layered data models (e.g., staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices.
• Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.
• Optimize Snowflake for performance and cost: warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
• Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation using dbt docs.
• Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
• Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
• Collaborate with analysts, data scientists, architects, and business stakeholders to deliver validated, business-ready data assets.
• Mentor junior engineers, lead architectural/code reviews, and help establish reusable frameworks and standards.
• Engage with clients to gather requirements, present solutions, and manage end-to-end project delivery in a consulting setup.

• Bachelor's or master's degree in computer science, Data Engineering, or a related field.
• Certifications such as Snowflake SnowPro Advanced, dbt Certified Developer are a plus.

1. Expert-level knowledge of SQL and Snowflake, including performance optimization, storage layers, query profiling, clustering, and cost management.
2. Experience in dbt development: modular model design, macros, tests, documentation, and version control using Git.

1. Proficiency in orchestrating workflows using dbt Cloud, Airflow, or Azure Data Factory.
2. Comfortable working with data ingestion from cloud storage (e.g., Azure Data Lake, AWS S3) and APIs.

1. Dimensional modelling (Star/Snowflake schemas), Slowly changing dimensions.
2. Knowledge of modern data warehousing principles.
3. Experience implementing Medallion Architecture (Bronze/Silver/Gold layers).
4. Experience working with Parquet, JSON, CSV, or other data formats.

Preferred technical skills include Python for data transformation, notebook development, automation; strong grasp of SQL for querying and performance tuning; and exposure to Jinja for advanced dbt development.

As a leader, you will have the ability to thrive in client-facing roles with competing/changing priorities and fast-paced delivery cycles. You will be able to communicate effectively with business stakeholders to understand objectives and convert them into actionable data engineering designs.

Additional leadership skills include:

• Project ownership: end-to-end delivery including design, implementation, and monitoring.
• Mentorship: guide junior engineers and establish best practices; build new skills in the team.
• Agile practices: work in sprints, participate in scrum ceremonies, story estimation.