Data Platform Engineer Senior 1

Job Profile Responsibilities

• Design and maintain enterprise-grade data platforms for structured and unstructured data

• Build and optimize batch and streaming data ingestion pipelines

• Develop and maintain data lakes, warehouses, and lakehouse architectures

• Ensure data quality, governance, lineage, and compliance

• Optimize platform performance, scalability, and cost

• Enable AI/ML feature stores and training datasets

• Implement data security, encryption, and access controls

• Automate workflows using Infrastructure-as-Code and CI/CD

• Monitor platform performance and troubleshoot pipelines

• Contribute to platform standards and documentation

Requirements & Qualifications

• Strong experience in data engineering and platform development 

• Proficiency in SQL and Python or Scala 

• Experience with Snowflake, Databricks, BigQuery, Redshift, or Synapse 

• Experience with Airflow, Azure Data Factory, Kafka, Spark, or Fivetran 

• Strong knowledge of ETL/ELT and distributed data processing 

• Experience with Azure, AWS, or GCP (Azure preferred) 

• Familiarity with Terraform, ARM, CloudFormation, and Git 

Preferred Requirements

• Experience supporting AI/ML or analytics platforms 

• Knowledge of data governance and metadata tools 

• Experience with real-time or streaming architectures 

  • Cloud or data platform certifications