Senior Data Engineer

Key Responsibilities:

• Own the end-to-end design and evolution of the Medallion Architecture - defining ingestion patterns for Bronze, transformation and data quality standards for Silver, and data product delivery conventions for Gold, ensuring consistency across all platforms and teams
• Design, develop, and maintain scalable, high-performance data pipelines following Medallion Architecture and ETL/ELT workflows for batch and real-time data ingestion
• Develop and optimize Snowflake schemas, views, and data models aligned with the Medallion pattern to support analytical workloads and self-service reporting
• Build and optimize data models, tables, and views within Snowflake aligned with the Medallion pattern to support analytical and operational use cases
• Lead the design and implementation of real-time streaming data solutions to enable low-latency data availability across the organization
• Develop and manage Databricks workflows, notebooks, and Delta Lake pipelines for large-scale data processing
• Establish and maintain data governance practices across all Medallion tiers — including Unity Catalog policies, Snowflake RBAC, and data lineage tracking
• Mentor and technically guide junior and mid-level data engineers through code reviews, design reviews, pairing sessions, and documentation
• Collaborate with business stakeholders to understand requirements and deliver reliable, well-documented data products
• Apply CI/CD best practices and manage code through Git version control.
• Monitor, troubleshoot, and optimize data pipeline performance, and ensuring data quality
• Collaborate with business stakeholders to understand requirements and deliver reliable, well-documented data products
• Willingness to participate in developing the AI agents

Qualifications
 

Experience:

• 6 to 8 years of professional experience in data engineering or a related field
• Proven track record working with cloud-native data platforms (Snowflake, Databricks, or equivalent)
• Deep, production-proven expertise in designing and operating Medallion Architecture (Bronze/Silver/Gold) at scale using Databricks Delta Lake and/or Snowflake multi-layer schemas
• Extensive experience with Snowflake — advanced data modelling, performance optimisation, dynamic data masking, and row-level security
• Strong expertise in Databricks — cluster management, Delta Live Tables, and Unity Catalog
• Experience with real-time and streaming data architectures in production environments
• Knowledge of data orchestration tools such as Azure Data Factory
• Hands-on experience designing and building ETL/ELT pipelines for large-scale data environments
• Familiarity with data warehousing concepts, dimensional modeling, and data lake architecture
• Experience working in Agile/Scrum development environments
• Exposure to CI/CD pipelines and DevOps practices for data workflows
• Proficiency in PySpark and/or Python for data transformation and pipeline development
• Strong SQL skills including query optimization, window functions, and complex joins
• Experience with cloud platforms such as Azure, AWS, or GCP

Skills/Attributes

• Synoptek core DNA behaviors:
  • Clarity: Possesses excellent communication skills, makes a concentrated effort to speak the customer’s language. Ability to field questions with concise, well-constructed responses
  • OwnIT: Shows integrity, innovation, and accountability in completing daily assignments
  • Results: Solutions focused and driven to resolve conflict quickly and precisely. Proactively looks for opportunities to contribute to the company’s business goals
  • Growth: Willing to learn and ask questions. Constantly looking for new ways to improve yourself. Ability to adapt and grow in a fast-paced environment
    • Team: Embraces both customers and colleagues as team members. Ability to be flexible, respectful, engaged and collaborative