Senior Data Engineer

Job Title: Senior Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration.
• Build high-performance, reusable data pipeline frameworks using Python and SQL.
• Develop and optimize enterprise data warehouses and cloud-native data platforms.
• Implement robust data integration solutions supporting analytics, reporting, and AI initiatives.
• Optimize data processing performance, scalability, and reliability.

• Design and implement scalable data models, including:
• Star Schema
• Snowflake Schema
• Data Vault
• Establish data modeling standards aligned with enterprise architecture.
• Ensure consistency, scalability, and performance across data solutions.

• Build and support enterprise cloud data platforms using:
• Snowflake
• Google BigQuery
• Databricks
• Amazon Redshift
• Microsoft Fabric
• Collaborate with Cloud Architects and Platform Engineers on cloud-native solutions.
• Support multi-cloud data engineering initiatives across AWS, Azure, and Google Cloud Platform.

• Support the technical execution of large-scale system migration projects.
• Build migration pipelines and validate migrated data.
• Perform reconciliation and data quality validation throughout migration activities.
• Collaborate with cross-functional teams during migration planning, testing, cutover, and post-production validation.
• Support stakeholder alignment and operational readiness throughout project execution.

• Implement data quality, validation, monitoring, and governance frameworks.
• Define and maintain data quality SLAs and operational monitoring standards.
• Support metadata management, data lineage, access controls, and compliance requirements.
• Ensure data integrity, security, and consistency across enterprise platforms.

• Automate data platform deployments using Terraform or similar Infrastructure-as-Code (IaC) tools.
• Develop and maintain CI/CD pipelines for data engineering solutions.
• Drive automation and continuous improvement across engineering processes.

• Partner with Product Managers, Business Analysts, Data Architects, and Data Scientists to deliver enterprise data solutions.
• Mentor junior engineers and promote engineering best practices.
• Lead technical discussions, solution design, and architecture reviews.
• Contribute to Agile planning, sprint execution, and cross-functional delivery.

• Bachelor''s degree in computer science, Information Technology, Engineering, or a related field.
• 8+ years of experience designing and implementing enterprise-scale data engineering solutions.
• Strong experience supporting enterprise data migration and modernization initiatives.
• Advanced expertise in SQL and enterprise data modeling.
• Strong programming experience with Python.
• Extensive experience designing and developing ETL/ELT pipelines.
• Hands-on experience with cloud data platforms including Snowflake, BigQuery, Databricks, Redshift, or Microsoft Fabric.
• Experience with orchestration tools such as Airflow, dbt, or Informatica.
• Strong understanding of cloud platforms (AWS, Azure, or Google Cloud Platform).
• Experience with Terraform or other Infrastructure-as-Code (IaC) tools.
• Strong knowledge of CI/CD processes for data platform deployments.
• Excellent communication and stakeholder management skills.

• Experience within the Mortgage Industry, including:
• Mortgage Servicing
• Asset-Backed Finance (ABF)
• Settlements
• Remittances & Cash Consolidation
• Servicing Workflows
• Experience leading enterprise system migration programs.
• Experience with Product or Program Management throughout the software development lifecycle.
• Experience working in Agile or hybrid delivery environments.
• Knowledge of enterprise data governance and compliance frameworks.

• Python
• SQL

• ETL / ELT
• Data Modeling
• Star Schema
• Snowflake Schema
• Data Vault
• Data Warehousing
• Data Integration

• Snowflake
• Google BigQuery
• Databricks
• Amazon Redshift
• Microsoft Fabric

• Apache Airflow
• dbt
• Informatica

• AWS
• Microsoft Azure
• Google Cloud Platform (Google Cloud Platform)

• Terraform
• Infrastructure as Code (IaC)
• CI/CD
• Git

• Tableau
• Power BI

• Metadata Management
• Data Lineage
• Data Quality
• Data Validation
• Access Controls
• Compliance

• Snowflake SnowPro Certification
• AWS Certified Data Analytics – Specialty
• Microsoft Azure Data Engineer Associate
• Google Cloud Professional Data Engineer

• Enterprise Data Engineering
• Cloud Data Platform Architecture
• ETL/ELT Development
• Data Pipeline Optimization
• Data Warehouse Design
• Data Migration & Modernization
• Data Governance & Quality
• Infrastructure as Code (IaC)
• Agile Delivery
• Technical Leadership
• Cross-functional Collaboration
• Stakeholder Management