Sedin Technologies - Data Architect - Python/Spark

Overview

JD for a Data Architect - 10+ years of experience

Key Responsibilities

• Design, implement, and maintain enterprise-level data architectures including data warehouses, data lakes, and lakehouses.
• Lead the data engineering efforts, including ETL/ELT processes, data pipelines, and workflow orchestration.
• Develop conceptual, logical, and physical data models for complex business domains.
• Ensure data governance, security, and compliance across all data assets.
• Optimize data solutions for performance, scalability, and cost-efficiency.
• Collaborate with business stakeholders to translate requirements into robust data solutions.
• Evaluate and recommend new technologies, tools, and frameworks for data engineering and analytics.
  
  

• Strong experience in data engineering, data modeling, and database design.
• Expertise in SQL, Python, Spark, or Scala for data processing.
• Hands-on experience with cloud platforms (Azure, AWS, GCP) and their data services.
• Experience with modern data warehousing/lakehouse technologies (Snowflake, Databricks, Synapse, MS Fabric, etc.).
• Knowledge of ETL/ELT pipelines, data integration, and workflow orchestration.
• Familiarity with big data ecosystems (Hadoop, Hive, Kafka) is a plus.
• Strong understanding of data governance, metadata management, and security standards.
• Excellent problem-solving, analytical, and communication skills.
  
  

• Certifications in cloud platforms or data technologies.
• Experience in real-time data processing and analytics.
• Exposure to BI tools such as Power BI, Tableau, or Looker.
  
  

(ref:hirist.tech)