
Enterprise Data Architect
1 day ago
This role is ideal for a seasoned data expert who can drive business growth through data-driven strategies and innovations.
We are seeking an experienced Data Architect to join our team. The successful candidate will be responsible for designing, developing, and implementing data architecture solutions that support business objectives.
Key Responsibilities:
- Design and develop features in the existing Data Warehouse to improve data quality, reduce latency, and increase scalability.
- Establish connections between Engineering, product, and analytics/data scientists teams to foster collaboration and knowledge sharing.
- Implement batch ETL pipelines and define data architecture to ensure data integrity and consistency.
- Partner with engineers and data analysts to build reliable datasets and deliver high-quality insights.
- Work with data orchestration tools (Apache Airflow, Dagster, Prefect) to automate data workflows and improve efficiency.
Required Skills and Qualifications:
- Strong understanding of data architecture models, including Kimball, Inmon, Data Marts, Data Vault, and Medallion.
- Expertise in cloud-based data strategies and big data technologies, with a focus on AWS Preferred.
- Proficiency in SQL and PostGreSQL development, query optimization, and designing indexes.
- Experience with Postgres PL/SQL for complex warehouse workflows and advanced SQL concepts (RANK, DENSE_RANK).
- Knowledge of data manipulation libraries in Python (Pandas, Polars, DuckDB) and data visualization tools (Tableau, PowerBI).
Benefits:
- Opportunity to work with cutting-edge technologies and innovative projects.
- Collaborative and dynamic work environment with experienced professionals.
- Professional development opportunities and training programs.
Others:
- We value diversity, equity, and inclusion in the workplace.
- Flexible working hours and remote work options.
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