Cloud Data Engineer II

BankUnited, Inc.•Miami Lakes, FL

10d

About The Position

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.

Requirements

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.
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.
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.

Nice To Haves

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

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 orchestrates 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.