Solution Engineer Lead
AI summary of the role
Lead engineering for end-to-end technology stacks at Bank of America, focusing on Hadoop and Data Science platform operations.
What you’ll do
- Define and lead engineering approach across end-to-end technology stacks, ensuring alignment with product strategy.
- Mentor and guide Solution Engineer resources and junior engineers on performance evaluation and validation methods.
- Provide subject matter expertise in managing Hadoop and Data Science Platform operations, focusing on Cloudera Hadoop, Jupyter Notebook, OpenShift, and Docker-Container cluster management.
- Manage platform operations across all environments including upgrades, bug fixes, deployments, monitoring, disaster recovery, and incident/capacity management.
What you’ll bring
- 9+ years experience with Hadoop, Kafka, Spark, Impala, Hive, Hbase.
- Expert level knowledge of Cloudera Hadoop components (HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper, Postgres).
- Strong knowledge of Hadoop Architecture, HDFS, cluster configuration, and YARN debugging.
- Intimate knowledge of AD/Kerberos authentication.
Technologies
Hadoop · Kafka · Spark · Impala · Hive · Hbase · Cloudera · Jupyter Notebook · OpenShift · Docker · Ansible · Jenkins
About Bank of America
Universal bank serving consumers, businesses and institutions across deposits, lending, wealth, investment banking and markets, anchored by Merrill and BofA Securities.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
ensuring system design solutions comply with enterprise standards. Job expectations include demonstrating technical expertise within domains, decomposing objectives into work units, advancing efficient solution delivery practices, and promoting exceptional design, engineering and organizational practices. Hadoop Engineer (SME) role supporting NextGen Platforms built around Big Data Technologies (Hadoop,Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more). Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, Databricks, Snowflake, Talend, Greenfield, ELK, KPMG Ignite etc. Hadoop Engineer is involved in the full life cycle of an application and part of an agile development process. They require the ability to interact, develop, engineer, and communicate collaboratively at the highest technical levels with
More from the 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 Ban [... source excerpt omitted ...] with opportunities to learn, grow, and make an impact. Join us! This job is responsible for defining and leading the engineering approach across end-to-end technology stacks. Key responsibilities include leading teams to deliver design solutions, engaging in development environments to identify and improve performance/capacity issues, and ensuring system design solutions comply with enterprise standards. Job expectations include demonstrating technical expertise within domains, decomposing objectives into work units, advancing efficient solution delivery practices, and promoting exceptional design, engineering and organizational practices. Hadoop Engineer (SME) role supporting NextG [... source excerpt omitted ...] application and part of an agile development process. They require the ability to interact, develop, engineer, and communicate collaboratively at the highest technical levels with clients, development teams, vendors, and other partners. Responsibilities: Ensures that execution aligns with product strategy by working with product management, product owners, and other stakeholders, contributing to the technology strategy for their technical domain Mentors and guides Solution Engineer resources and more junior engineers on performance evaluation and validation methods and tools ensuring system design technology solutions comply with enterprise system design and engineering stan
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