Cloud Data Engineer II

JOB SUMMARY: The Cloud Data Engineer II will play a pivotal role in managing and optimizing cloud infrastructure and services. This position is responsible for implementing and maintaining cloud-based solutions to support the organization's data and analytics initiatives. The ideal candidate will have a strong background in cloud data engineering, with expertise in AWS and Snowflake data platforms.

 

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Designs, develops, and implements cloud-based data and analytics solutions leveraging AWS, Snowflake, dbt, and related technologies.

• Builds, maintains, and optimizes scalable data pipelines, ELT processes, and transformation frameworks supporting enterprise reporting, analytics, and AI/ML initiatives.

• Ingests and integrates data from diverse sources, including relational databases, APIs, and streaming platforms, into cloud data lakes and data warehouses.

• Develops and maintains reusable dbt models and data transformation frameworks in accordance with enterprise data modeling, governance, and coding standards.

• Designs and optimizes data models for performance, scalability, storage efficiency, and analytics using Redshift, Athena, DynamoDB, Snowflake, and other cloud-native technologies.

• Automates and orchestrate data workflows using AWS Glue, Step Functions, Apache Airflow, dbt Cloud, and related tools.

• Implements data quality, reconciliation, monitoring, lineage, and auditing controls to ensure trusted, reliable, and compliant data assets.

• Ensures solutions adhere to enterprise data governance, information security, risk management, and regulatory requirements, including appropriate data access controls and encryption standards.

• Monitors, support and maintain cloud data platforms, pipelines, and infrastructure to ensure operational stability, reliability, and cost efficiency.

• Participates in production support activities, including incident management, root cause analysis, problem resolution, and continuous service improvement initiatives.

• Proactively monitors platform and pipeline performance, identifying and resolving issues before they affect business operations.

• Supports CI/CD processes through source control, automated testing, and deployment methodologies to enable efficient and reliable solution delivery.

• Leverages Infrastructure-as-Code (IaC) and automation practices to improve platform consistency, scalability, reliability, and operational efficiency.

• Collaborate with cross-functional teams to establish cloud architecture standards, best practices, and continuous improvement initiatives.

• Provides technical leadership, mentorship, and support to junior team members and business partners.

• Troubleshoots complex technical issues across cloud infrastructure, data platforms, and integration services.

• Stays current with emerging cloud, data engineering, analytics, and AI technologies to drive innovation and operational excellence.

• Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).

• Adheres to Bank policies and procedures and completes required training.

• Identifies and reports suspicious activity.

SUPERVISORY RESPONSIBILITIES

• N/A

 

QUALIFICATIONS

Education

• Bachelor's Degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.

• Equivalent combination of education and relevant experience may be considered.

Experience

• Minimum of 3 years of experience in Data Engineering, Cloud Engineering, or a related technology role, required.

• Hands-on experience designing and supporting cloud-based data solutions utilizing AWS services, required.

• Experience with Snowflake Data Cloud, including data modeling, performance optimization, and security best practices, required.

• Experience developing and maintaining data transformation frameworks using dbt Cloud and/or dbt Core, required.

• Strong proficiency in SQL, Python, and PySpark for data transformation, automation, and analytics workloads, required.

• Experience building and supporting ETL/ELT pipelines in cloud environments, required.

Preferred Qualifications

• Experience with CI/CD practices and tools such as Git, GitHub, Jenkins, GitHub Actions, Terraform, or similar technologies.

• Experience with workflow orchestration tools such as Apache Airflow, AWS Step Functions, or similar platforms.

• AWS, Snowflake, or dbt certifications.

• Experience in financial services, banking, or other highly regulated industries.

• Exposure to data analytics, machine learning, or AI-enabled data platforms.

Licenses and Certifications

Relevant certifications such as AWS Certified Solutions Architect, Azure Solutions Architect, or similar are preferred.

 

Knowledge, Skills, and Abilities

• Strong understanding of cloud architecture, including infrastructure as code (IaC) and containerization technologies.

• Familiarity with serverless architectures for data processing

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• Knowledge of data warehousing and business intelligence best practices.

• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.

Additional Information

Candidates residing in locations within BankUnited's footprint may be given preference.