Data Software Engineer – Corporate Technology Data Engineering & Analytics

The Opportunity

Join our dynamic team as a Data Software Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability.

The Team

You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers.   Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed.

The Impact:

• Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security.
• Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment.
• Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform.
• Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes.
• Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability.
• Optimize data workflows for performance and cost-efficiency in the cloud.
  Drive the implementation of Operational Data Store (ODS) patterns and integrate with downstream data warehouse and analytics layers.
• Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule.
• Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake).
• Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts.
• Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions.
• Participate in roadmap planning and contribute to long-term data platform strategy and technology selection.
• Ensure compliance with data governance, security, and operational standards across all engineering activities.

The Minimum Qualifications

• Bachelor’s in Computer Science, Engineering or related technical field
• 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services
• 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design
• 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment
• 2+ years experience in Python, SQL, and automation scripting
• 2+ years experience with containerization (Docker, ECS, EKS)

The Ideal Qualifications

• Master’s degree in Computer Science, Engineering or related field
• AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer).
• Knowledge of streaming data technologies (e.g., Kinesis, Kafka)
• Exposure to data lake and data warehouse architectures
• Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus)
• Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow)
• Demonstrated experience working with global delivery teams and cross-functional stakeholders
• Strong communication skills with a proven ability to work across functional teams
• Experience with data lake architecture, data governance frameworks, and modern metadata management
• Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments
• Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas)
• Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA)
• Exceptional communication and interpersonal skills
• Ability to influence and motivate teams without direct authority
• Excellent time management and organizational skills, with the ability to prioritize multiple initiatives

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