The Role
Design, build, and maintain scalable cloud data platforms and ELT pipelines using AWS, Snowflake, and dbt. Implement data models, orchestration, IaC, data quality, monitoring, and CI/CD. Support production operations, compliance, and mentor junior teammates.
Summary Generated by Built In
Job Summary & Responsibilities
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.
Skills Required
- Bachelor's Degree in Computer Science, IT, Information Systems, Engineering, or related (or equivalent experience)
- Minimum of 3 years experience in Data Engineering, Cloud Engineering, or related role
- Hands-on experience designing and supporting cloud-based data solutions utilizing AWS services
- Experience with Snowflake Data Cloud including data modeling, performance optimization, and security best practices
- Experience developing and maintaining data transformation frameworks using dbt Cloud and/or dbt Core
- Strong proficiency in SQL, Python, and PySpark for data transformation and automation
- Experience building and supporting ETL/ELT pipelines in cloud environments
- Experience with CI/CD tools (Git, GitHub, Jenkins, GitHub Actions, Terraform)
- Experience with workflow orchestration tools (Apache Airflow, AWS Step Functions)
- 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
BankUnited Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BankUnited and has not been reviewed or approved by BankUnited.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, with medical, dental, and vision options plus disability and life insurance. Wellness programming is described as robust, including incentives, screenings, and on-site fitness facilities at the corporate center.
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Retirement Support — Retirement support includes a 401(k) plan with a company match and relatively quick eligibility after one month. Auto-enrollment and auto-increase features are described, which can help employees build savings consistently.
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Leave & Time Off Breadth — Time-off offerings are described as broad, including a sizable PTO range by level and paid holidays. Additional time-off programs such as volunteer time and flexible/hybrid/remote arrangements are also described for eligible positions.
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The Company
What We Do
BankUnited, Inc., with total consolidated assets of $35.2 billion at March 31, 2021, is a bank holding company with one wholly owned subsidiary, BankUnited. BankUnited, a national banking association headquartered in Miami Lakes, Florida, provides a full range of banking services to individual and corporate customers through banking centers in Florida and New York. The Bank also provides certain commercial lending and deposit products on a national platform. Here at BankUnited, we endeavor to provide, through experienced lending and relationship banking teams, personalized customer service and offer a full range of traditional banking products and services to both commercial and retail customers.
