Cloud Data Engineer II at BankUnited, Inc.

Miami Lakes, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Oct, 26

Salary

0.0

Posted On

14 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Snowflake, dbt, SQL, Python, PySpark, ETL/ELT, Data Modeling, Apache Airflow, AWS Glue, Infrastructure-as-Code, CI/CD, Data Governance, Redshift, Athena, DynamoDB

Industry

Banking

Description

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.

Responsibilities

Design and implement cloud-based data solutions and scalable pipelines using AWS and Snowflake to support analytics and AI/ML initiatives. Maintain data quality, governance, and operational stability while automating workflows and optimizing data models.