Sr Engineer, Data Analytics Engineering

Job Overview

Modernization and Cloud Engineering

• Lead migration of legacy SQL, SSIS, and ETL pipelines into AWS-native ingestion and integration patterns.
• Design scalable batch, streaming, and event-driven pipelines using services such as S3, Glue, Lambda, Kinesis, DynamoDB, and Step Functions.
• Build resilient data movement frameworks with metadata, lineage, security, and quality governance.
• Contribute to decommissioning by rationalizing and replacing legacy pipeline assets.

Integration and API Engineering

• Develop secure, performant APIs using API Gateway, Lambda, GraphQL, and REST.
• Standardize reusable integration patterns for ingestion modules and domain onboarding.
• Partner with Enterprise Architecture on API standards, patterns, and best practices.

Automation and Platform Enablement

• Implement infrastructure as code using Terraform or CloudFormation.
• Develop CI/CD pipelines that improve automation, repeatability, and quality.
• Contribute shared libraries, frameworks, and templates for onboarding new data sources.
• Improve observability through logging, metrics, tracing, and automated alerting.

Collaboration and Strategic Influence

• Lead a high-performing team of data engineers and develop a culture of engineering excellence.
• Collaborate with Lakehouse, Warehouse, AI, Data Product, governance, and security teams.
• Shape the technical roadmap and modernization approach and contribute to architecture and design reviews.
• Advocate for scalable, maintainable, cloud-native engineering practices.

Requirements

• Proven experience leading and developing high-performing, engaged teams.
• At least 8 years of experience in data engineering, software engineering, and/or cloud engineering.
• Bachelor’s degree in data science, computer science, or a related field.
• Hands-on experience with cloud data lakes, data zones, schema evolution, governance, Python and/or SQL, orchestration, and DevOps for data.
• Strong understanding of data modeling, data quality, secure data onboarding, governance, and batch and real-time processing.

Preferred Qualifications

• A master’s degree is preferred.
• Experience modernizing legacy data feeds and migrating large-scale ingestion workloads to the cloud.
• Knowledge of API management, GraphQL, federated access patterns, data mesh, or federated data products.
• Background in regulated industries, especially financial services.
• Familiarity with Dynatrace, CloudWatch, Datadog, OpenTelemetry, or similar observability tools.
• Experience designing reusable frameworks or integration components.