Data Engineer/Architect

Scalence L.L.C. is seeking an experienced Data Engineer/Architect to design and implement scalable data architectures and build high-performance ELT/ETL pipelines. The role involves collaboration with cross-functional teams to enable enterprise-wide analytics and reporting solutions while ensuring data quality and governance.

Responsibilities:

• Design and implement enterprise-scale data architectures and integration strategies
• Develop conceptual, logical, and physical data models including star and snowflake schemas
• Build, optimize, and maintain scalable ELT/ETL pipelines for batch and real-time processing
• Work extensively with Snowflake, Oracle SQL, and cloud-based data platforms
• Design and manage data lakes, warehouses, and data marts to support analytics and reporting
• Ensure data quality, governance, security, and compliance with standards such as GDPR and HIPAA
• Collaborate with business stakeholders, analysts, and data scientists to translate business requirements into technical solutions
• Optimize SQL queries, database performance, and data processing workflows
• Implement orchestration and workflow automation using tools such as Airflow, dbt, or similar technologies
• Support cloud migration and modernization initiatives across AWS, Azure, or Google Cloud environments

Requirements:

• 5–10+ years of experience in Data Engineering, Data Architecture, or Software Engineering
• Strong programming skills in Python, Java, or Scala
• Expert-level SQL skills with extensive experience in Oracle SQL
• Hands-on expertise with Snowflake and modern cloud data warehouses
• Experience with cloud platforms: AWS, Azure, or Google Cloud Platform
• Strong understanding of data modeling, ETL/ELT, and data warehousing concepts
• Experience with orchestration and streaming tools such as Apache Kafka, Airflow, and dbt
• Knowledge of data governance, security frameworks, and access control mechanisms
• Excellent problem-solving, communication, and stakeholder management skills