
Chief Data Architect
3 hours ago
We are seeking an experienced Senior Data Engineer to lead the design, development, and maintenance of our modern data platform.
- Data Engineering: Design and implement efficient, scalable ETL/ELT pipelines and data flows.
- Transformation Models: Develop transformation models using dbt and orchestrate pipelines via Airflow.
- Processing Jobs: Optimize large-scale processing jobs in Apache Spark.
- Database Management: Tune and manage relational and analytical databases (PostgreSQL, Snowflake).
- Schemas and Storage: Architect and maintain schemas using Star Schema, 3NF, and SCD2 methodologies, and design and support lakehouse architectures and scalable storage solutions.
- Data Governance: Implement and enforce data governance, validation, and quality control mechanisms.
- DevOps Standards: Maintain DevOps standards using CI/CD, GitFlow, and containerization tools like Docker and Ansible.
Requirements:
- SQL and ETL: Advanced proficiency in SQL and ETL/ELT design.
- dbt and Airflow: Strong experience with dbt, Airflow, and Spark.
- Data Modeling: Deep understanding of data modeling techniques (Star Schema, 3NF, SCD2).
- Database Optimization: Proven ability to optimize and tune PostgreSQL and Snowflake for performance.
- Lakehouse Architecture: Familiarity with lakehouse architecture principles and tools.
- Data Governance Frameworks: Solid experience in data governance, validation frameworks, and pipeline monitoring.
- Containerization: Strong grasp of GitFlow, CI/CD pipelines, and containerization (Docker/Ansible).
- Collaboration: Ability to work independently and collaborate across teams in a dynamic environment.
Preferred Qualifications:
- Cloud Platforms: Hands-on experience with cloud platforms (AWS, GCP, Azure).
- IaC Tools: Familiarity with IaC tools and DevOps best practices.
- Regulated Environments: Experience working in regulated or enterprise environments with strict data governance policies.
What We Offer:
- Competitive Salary: Competitive salary and performance-based incentives.
- Flexible Working Hours: Flexible working hours and remote-first culture.
- Opportunity to Shape: Opportunity to shape and scale a modern data platform.
- Collaborative Environment: A collaborative, engineering-led environment where your voice matters.
- Benefits:
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