Senior Hadoop Platform Architect

Devopsroles

Plano (TX)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Bank of America is seeking a Senior Data Architect to lead the architectural vision for complex data solutions across on-prem and cloud platforms. You will shape data models, ETL pipelines, and governance while collaborating with product, security, and analytics teams.

Responsibilities include designing scalable data warehouses, evaluating new technologies, and mentoring engineers to ensure best practices in data architecture.

Qualifications

5+ years of technical solutions experience, incl. 3+ years in enterprise data platforms (Hadoop/Teradata).
Enterprise Business Intelligence and Analytics.
Varied data processing engines and strategies: Databricks, Snowflake, BigQuery, Watson X, Starburst/Trino
Experience in multiple programming disciplines including Java, Python, and scripting languages.
Deep understanding of virtualized 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 principles, creating designs that adhere to security baselines
Cloud architectures including IaaS, PaaS, SaaS on AWS, Azure, Google
Ability to work independently and lead a project team

Responsibilities

Works across business, operations and technology to create the solution intent and architectural vision.
Contributes to architecture roadmap across defined domains (Business, Application, Data, Technology).
Clarifies architecture, assists with system design, and provides solution options.
Leads design of complex architectures and finds creative solutions.
Educates team on technology practices and standardization strategies.
Supports team in selecting technology stack and preferred products.
Performs design and code reviews to ensure non-functional requirements are met.

Skills

Analytical Thinking

Architecture

Result Orientation

Solution Design

Technical Strategy Development

Application Development

Collaboration

Data Management

DevOps Practices

Risk Management

Agile Practices

Automation

Influence

Solution Delivery Process

Test Engineering

Education

BS in Computer Science, Information Technology or related field

Tools

OpenShift

Kubernetes

Docker

VMware

Databricks

Snowflake

BigQuery

Watson X

Starburst/Trino

CEPH

Cirata

Ozone

MinIO

Kudu

HDFS

Ansible

Jira

Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

LOB Description:

We strive to build fault tolerant design patterns that support zero to minimal downtime in support of distributed platforms, complex compute environments, and Cloud technologies in pursuit of creating best in class big data ecosystems.They must be able to work with end users, stakeholders, executives, system administrators, and vendors to help deploy those solutions from POC to Production.

Manages relationships with business and technology leaders and vendors for technical products and creates an inclusive and healthy working environment to resolve organizational impediments and blockers.
Creates the technology strategy fora respective technical domain, aligning execution with product strategy by working with ProductManagers ,Product team members, 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.
Provide thought leadership in big data strategy and execution.

LOB Responsibilities:

This job is responsible for innovating and leveraging technologies in the Big Data, Data Analytics and Data Warehousing realms. Key responsibilities include delivering the architecture and usage patterns across a wide variety of solutions, partnering other analytic teams, security and tenants to meet a diverse usage of delivery and access patterns.

Job Description:
This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap.

Responsibilities:

Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services
Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates
Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments
Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable
Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions
Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products
Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)

Required Qualifications:

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, Creating designs that adhere to Security Baselines
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

Desired Qualifications: