Senior Data Engineer – Databricks Lakehouse Specialist

AmeriLife; Rhode Island; On-site; USD 143,000 - 160,000; Full time

Benefits offered by this job

PTO

Medical/Dental/Vision

Retirement savings

Disability insurance

Life insurance

Job summary

AmeriLife in the United States seeks a Senior Data Engineer to design, build, and optimize enterprise data products and modern data pipelines on Databricks. This role powers enterprise reporting, analytics, AI, operational applications, and business intelligence.

The ideal candidate has deep expertise in Databricks, Apache Spark, Delta Lake, and Lakehouse architectures, with strong experience delivering enterprise-grade data engineering solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 7+ years of Data Engineering experience.
• 3+ years of hands-on Databricks experience.
• Strong expertise in Apache Spark (PySpark and SQL).
• Deep knowledge of Delta Lake, Unity Catalog, Workflows, and Lakehouse architecture.
• Advanced SQL development skills.
• Experience building enterprise-scale ETL/ELT pipelines.
• Experience with Azure cloud services.
• Strong Git, CI/CD, and DevOps practices.
• Experience with performance tuning and optimization.

Responsibilities

• Design and develop scalable Spark-based ETL and ELT pipelines.
• Build enterprise data products using Medallion Architecture.
• Develop Bronze, Silver, Gold, and Semantic data layers.
• Engineer reusable enterprise data assets for business consumption.
• Optimize large-scale distributed data processing workloads.
• Build native Databricks solutions using Spark, Delta Lake, Unity Catalog, Workflows, SQL Warehouses, and Delta Live Tables.
• Optimize cluster performance and workload efficiency.
• Implement automated deployment pipelines and CI/CD practices.
• Develop scalable Lakehouse solutions.
• Design dimensional models for business consumption.
• Build Data Vault 2.0 models for enterprise integration.
• Develop semantic models and curated data products.
• Support Master Data Management initiatives.
• Implement enterprise data quality validations.
• Develop metadata-driven engineering solutions.
• Enable lineage, governance, and traceability.
• Ensure production-ready engineering standards.
• Partner with Architects, Product Owners, Business Analysts, and Data Scientists.
• Participate in architecture reviews and code reviews.
• Mentor junior engineers.
• Drive engineering best practices across the organization.

Skills

Databricks

Apache Spark

SQL

ETL/ELT pipelines

CI/CD

Git

Performance tuning

Azure cloud services

Data pipeline optimization

Mentoring

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

dbt

Terraform

Azure DevOps

Unity Catalog

Job description

AmeriLife in the United States seeks a Senior Data Engineer to design, build, and optimize enterprise data products and modern data pipelines on Databricks. This role powers enterprise reporting, analytics, AI, operational applications, and business intelligence.

The ideal candidate has deep expertise in Databricks, Apache Spark, Delta Lake, and Lakehouse architectures, with strong experience delivering enterprise-grade data engineering solutions.