
Chief Data Architect
2 days ago
Total years of experience: 10+ years
- Key Responsibilities:
- Participate in designing and developing features in existing Data Warehouses, ensuring seamless integration with Engineering, product, and analytics/data scientists teams.
- Lead the design, implementation, and update of batch ETL pipelines, leveraging expertise in data architecture.
- Define and implement data architectures that enable reliable datasets for business use.
- Collaborate with engineers and data analysts to build trustworthy datasets.
- Familiarity with various data orchestration tools such as Apache Airflow, Dagster, Prefect, and others is essential.
- Technical Skills:
- A strong understanding of Data Architecture and models is necessary for leading data-driven projects.
- Solid expertise in Data Modelling paradigms such as Kimball, Inmon, Data Marts, Data Vault, Medallion, etc. is required.
- Cloud-Based data strategies and big data technologies, specifically AWS Preferred, are a must.
- Designing data pipelines for ETL requires expert knowledge on ingestion, transformation, and data quality.
- Hands-on experience in SQL is mandatory, including query optimization and designing indexes.
- An ability to manipulate intermediate to complex levels of SQL is crucial.
- Thorough knowledge of Postgres PL/SQL to work with complex warehouse workflows is necessary.
- Advanced SQL concepts like RANK, DENSE_RANK and statistical concepts through SQL are required.
- Working experience with PostGres SQL extensions like PostGIS is desired.
- Expertise writing ETL pipelines combining Python + SQL is required.
- Understanding of data manipulation libraries in Python like Pandas, Polars, DuckDB is desirable.
- Experience in designing Data visualization with different tools such as Tableau and PowerBI is beneficial.
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