
Chief Data Architect
2 weeks ago
Overview
The role of a senior data architect involves designing and developing features within an existing data warehouse, establishing connections between engineering, product, and analytics/data scientists teams, implementing and updating batch ETL pipelines, defining and implementing data architecture, building reliable datasets for company-wide use, and working with data orchestration tools.
Key Responsibilities:
- Design and develop complex data warehousing solutions to meet business requirements.
- Establish and maintain effective communication channels among cross-functional teams.
- Develop, implement, and maintain large-scale ETL pipelines using batch processing techniques.
- Define and implement comprehensive data architectures that align with business goals.
- Collaborate with stakeholders to build high-quality datasets that support business decision-making.
- Utilize data orchestration tools such as Apache Airflow, Dagster, or Prefect to automate and monitor processes.
Required Skills and Qualifications:
- Strong understanding of data architecture principles and models.
- Proficiency in data modeling paradigms including Kimball, Inmon, Data Marts, Data Vault, and Medallion.
- Experience with cloud-based data strategies and big data technologies, preferably AWS.
- Expertise in SQL, PostgreSQL development, query optimization, and index design.
- Advanced understanding of statistical analysis and its applications in data-driven decision-making.
- Knowledge of data visualization tools like Tableau or PowerBI.
Benefits:
This role offers a unique opportunity to work on complex data challenges, collaborate with talented professionals, and contribute to the growth of our organization.
What We Offer:
- A dynamic and supportive work environment.
- Ongoing training and professional development opportunities.
- A competitive compensation package.
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