Hadoop Solutions Architect

Bank of America

Hadoop Solutions Architect designing and architecting data solutions for data analytic environments at Bank of America. Leading technology strategy and mentoring junior architects and engineers.

Posted 7/16/2026full-timePlano • Florida, North Carolina, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and architecting robust data warehouse solutions, optimizing data processes, and implementing fault-tolerant design patterns. Proficient in leading cross-functional teams and managing relationships with stakeholders to align technology strategies with business objectives.

Highest-signal resume keywords

Data Warehouse ArchitectureBig Data TechnologiesETL ProcessesCloud ArchitecturesData Quality Management

ATS Keywords

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Hard Skills

HadoopTeradataJavaPythonDatabricksSnowflakeKubernetesDockerData TransformationData Modeling

Soft Skills

LeadershipCollaborationMentoringCommunicationStakeholder Management

Tools & Technologies

OpenshiftVMwareCEPHMinIOHDFSAzureGoogle CloudAWS

Industry Keywords

Enterprise Business IntelligenceAnalyticsData Processing EnginesData SecurityCloud Service Providers

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudDockerETLHadoopHDFSJavaKubernetesOpenShiftPythonVMware

About the role

Key responsibilities & impact

Build fault tolerant design patterns that support zero to minimal downtime in support of distributed platforms
Work with end users, stakeholders, executives, system administrators, and vendors to help deploy solutions from POC to Production
Manage relationships with business and technology leaders and vendors for technical products
Create the technology strategy for a respective technical domain, aligning execution with product strategy by working with Product Managers and other stakeholders
Design and architect robust data warehouse solutions that support complex analytical workloads
Lead the evaluation and selection of big data technologies, tools, and frameworks
Develop data models, ETL processes, and data pipelines to ingest, transform, and load data efficiently
Collaborate with cross-functional teams to gather requirements and translate them into architectural designs
Ensure data quality, integrity, and security across all data platforms
Optimize performance of existing data processes and warehouse architecture
Mentor and guide junior architects and data engineers, promoting best practices in data architecture
Stay current with industry trends and emerging technologies in big data and data warehousing

Requirements

What you’ll need

5+ years of technical solutions experience including 3+ years in relevant enterprise data platforms and processing on Hadoop, Teradata, and Data Transformation Products
Enterprise Business Intelligence and Analytics
Varied data processing engines and strategies: Databricks, Snowflake, Big Query, Watson X, Starburst/Trino
Experience in multiple programming disciplines including Java, Python, and Scripting Languages
Deep understanding Virtualize and Containerized platforms: Openshift, Kubernetes, docker, VMware
Understanding of storage and data replication platforms: CEPH, Cirata, Ozone, MinIO, Kudu, HDFS
Understanding of Network and Security principals
Understanding of Cloud architectures including IaaS, PaaS, SaaS, compute, storage, network, and security solutions that run on large Cloud service providers (Azure, Google, AWS)
Ability to work independently and lead a project team

Benefits

Comp & perks

affordable, competitive and flexible benefits
professional development opportunities