
Data Architect Role Overview
1 day ago
About the position: As a senior data professional, you'll be responsible for defining, designing, and governing our company's data architecture strategy. This will involve collaborating with engineering, analytics, and product teams to build scalable data pipelines and systems that drive our core applications.
Key Responsibilities:
- Design and implement scalable, secure, and high-performance data architectures.
- Develop and optimize ETL/ELT pipelines using tools like Apache Airflow, DBT, or custom workflows.
- Lead data modeling, schema design, and documentation across cloud and on-prem systems.
- Develop best practices for data governance, versioning, and lineage tracking.
- Manage structured and unstructured data in PostgreSQL, MongoDB, Snowflake, or equivalent data warehouses.
- Ensure data quality, reliability, and accessibility across business units.
- Collaborate with DevOps for cloud-native data deployments (AWS, Azure, GCP).
The ideal candidate will have strong knowledge of data modeling, SQL optimization, and database design. A deep understanding of data processing frameworks such as Apache Airflow, Kafka, Spark, or similar is also required.
Bachelors or Masters in Computer Science, Data Engineering, or related field experience in data architecture or advanced data engineering. Proficient in Python, SQL, and one additional scripting language. Familiarity with CI/CD for data, cloud infrastructure, and containerization (Docker, Kubernetes). Solid understanding of data security, compliance, and access control.
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