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Senior Data Architect - Core Data Platform & Data Science Enablement - InfoCentric
Data Scientist
Senior Data Architect responsible for designing and evolving enterprise‑scale cloud data platforms that power advanced analytics, machine learning and data science initiatives, leveraging Snowflake, Databricks, Spark and modern data engineering tools.
About the role
Key Responsibilities
- Design and implement scalable, secure cloud data platforms (AWS/Azure) that support analytics, AI and data science workloads.
- Lead the architecture of data warehouses and lakehouse solutions using Snowflake, Databricks and Apache Spark.
- Define data modeling standards, data governance and integration patterns for enterprise‑wide data consumption.
- Collaborate with data scientists, engineers and business stakeholders to enable self‑service analytics and machine‑learning pipelines.
- Establish best practices for data ingestion, transformation (ETL/ELT) and performance optimization.
Requirements
- 10+ years of experience in data architecture, cloud platforms (AWS or Azure) and modern data warehousing technologies.
- Proven expertise with Snowflake, Databricks, Apache Spark and SQL/NoSQL data stores.
- Strong programming skills in Python for data engineering and analytics.
- Deep understanding of data modeling, data governance, and security in large‑scale environments.
- Excellent communication and leadership abilities to drive cross‑functional initiatives.
Skills
awsazuresnowflakedatabricksapache sparkpythonsql