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Snowflake Event Jobs (NOW HIRING)

Snowflake Developer

Boston, MA · On-site

$124K - $149K/yr

Experience with ETL/ELT frameworks, API integrations, and event streaming (Kafka/EventHub). * Understanding of data modeling, data vault, star/snowflake schema, and data products. Required Skills:

$150 - $200/hr

Azure (ADLS Gen2, Event Hubs, Key Vault), Databricks, Snowflake, Informatica, Kafka, Mainframe/Z Series job orchestration, Oracle/Postgres, Python, SQL, Java/Scala (optional), Git, Azure DevOps ...

Snowflake Developer

Boston, MA · On-site

$124K - $149K/yr

Experience with ETL/ELT frameworks, API integrations, and event streaming (Kafka/EventHub). * Understanding of data modeling, data vault, star/snowflake schema, and data products. Required Skills:

Senior Brand Designer

Menlo Park, CA · On-site

$150K - $196K/yr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek ... You'll create across a wide range of brand touchpoints-from events, tradeshows, and keynote ...

Snowflake Solution Architect

Austin, TX · On-site

$62.50 - $82.25/hr

Dynamic Tables, Streams, Tasks, and event-driven data pipelines. Snowflake CoCo (Cortex Code) for AI-driven development, CLI automation, and agent building. Cortex AI functions, Cortex Search, and ...

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek ... Organize, plan and execute team events. * Respond to questions and requests for information by ...

Manager, Sales Development

Menlo Park, CA · On-site

$117K - $154K/yr

... events, meet stretch pipeline goals, optimize your business for efficiency, accelerating ramp time to productivity, and ensure your team has a crisp understanding of Snowflake domain knowledge

Showing results 21-40

Snowflake Event information

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How much do snowflake event jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for snowflake event in the United States is $20.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.56 per hour, depending on experience, location, and employer.

What is the difference between Snowflake Event vs Snowflake Data Engineer?

AspectSnowflake EventSnowflake Data Engineer
Primary RoleAutomates and manages event-driven data workflows in SnowflakeDesigns, develops, and maintains data pipelines and architectures in Snowflake
Required SkillsKnowledge of Snowflake tasks, streams, and event handling; scripting; cloud integrationsSQL, data modeling, ETL/ELT processes, Snowflake architecture, scripting
Work EnvironmentData operations, automation teams, cloud platformsData engineering teams, analytics, data warehouses
CertificationsSnowPro Certification, cloud platform certificationsSnowPro Certification, data engineering certifications

Snowflake Event specialists focus on automating data workflows through event-driven processes within Snowflake, while Snowflake Data Engineers build and optimize data pipelines and architectures. Both roles require Snowflake certifications and cloud knowledge but differ in their core responsibilities and daily tasks.

What other helpful pages are available for Snowflake Event?

Other pages related to Snowflake Event:

Infographic showing various Snowflake Event job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 68% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $42,843 per year, or $20.6 per hour.

Principal Cloud Data Architect - Channels Data Platforms and Analytics

Charlotte, NC • On-site

Bank of America
Finance and Insurance • 10K+ employees

Full-time

PTO

Re-posted 16 days ago


Key responsibilities

  • Define and communicate the solution intent and architectural vision across Business, Data, Application, and Technology domains.

  • Build and maintain a multi-year modernization roadmap for Channels Data Platforms, including mainframe, Hadoop, ETL, and analytics components.

  • Lead transformation from legacy systems such as Informatica, on-prem databases, Hadoop, and mainframe-based reporting into cloud native architectures.


Bank Of America rating

8.3

Company rating: 8.3 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

49th of 176 rated banks


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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Position Summary:

The Principal Cloud Data Architect serves as the architectural authority for Channels Data Platforms and Analytics. This leader defines the target state architecture, drives modernization from legacy technologies to cloud native platforms, and ensures security, resiliency, performance, and compliance across the data and analytics ecosystem. The role provides strategic and technical oversight for the Payment Tracker and guides the transformation of large scale engineering teams and platforms, including mainframe based reporting systems.

The Principal Cloud Data Architect will lead the architecture, modernization, and transformation of the Channels Data Platform, which today includes on prem data warehouses, Informatica ETL, Hadoop ecosystems, mission critical mainframe processing, and legacy reporting workloads. The role will evolve this platform toward a cloud native, scalable, resilient architecture leveraging Azure, Databricks, Snowflake, Kafka, APIs/microservices, and modern engineering patterns.

  • Define and communicate the solution intent and architectural vision across Business, Data, Application, and Technology domains.
  • Build and maintain a multi year modernization roadmap for Channels Data Platforms, including mainframe, Hadoop, ETL, and analytics components.
  • Establish target operating models, architectural patterns, and guardrails to support evolving capabilities and regulatory expectations.
  • Drive enterprise alignment by collaborating with Enterprise Architecture, Platform Architecture, Information Governance, Risk, and Product.
  • Lead transformation from Informatica, on prem databases, Hadoop, and mainframe based reporting into cloud native architectures (Azure, Databricks/Delta, Snowflake, Event Hubs/Kafka).
  • Define migration paths for mainframe jobs, batch interfaces, and legacy ledger/reporting logic into scalable modern architectures.
  • Implement CI/CD for data, Infrastructure as Code (Terraform/Bicep), observability (logs/metrics/traces), and cost/performance governance.
  • Ensure platform resiliency, scalability, and operational readiness (HA/DR, autoscaling, performance tuning, traffic management).
  • Provide end to end architectural oversight for Payment Tracker, including UI, APIs/microservices, data models, analytics layers, and dashboards.
  • Guide design for real time and near real time insights, data marts, and advanced analytics embedded in Payment Tracker experiences.
  • Ensure adherence to NFRs (performance, security, maintainability, reliability) and integrated monitoring/alerting for application and data services.
  • Lead design and code reviews; resolve architectural blockers; ensure compliance with the Bank's Risk Framework, data privacy, entitlements, masking, and audit expectations.
  • Partner with delivery teams to translate strategy into actionable technical backlogs and architecture epics.
  • Drive the creation of reusable accelerators, libraries, templates, migration playbooks, and modernization frameworks.
  • Mentor engineers and elevate engineering excellence across Channels Technology.
  • Own R\&D for the data and analytics portfolio: evaluate emerging tools, run POCs/Pilots, benchmark performance, publish decision records, and set technology adoption standards.

Required Qualifications

  • 12+ years in data/software engineering with 8+ years designing enterprise data platforms or large distributed architectures.
  • Demonstrated leadership in cloud modernization (Azure preferred), including Databricks (Spark/Delta), Snowflake, Kafka/Event Hubs.
  • Strong background in modernizing legacy systems, including Informatica ETL, Hadoop/Big Data systems, and mainframe workloads (batch pipelines, reporting interfaces).
  • Deep expertise in NFR driven design: resiliency, security, performance, scalability, observability, and operational excellence.
  • Strong proficiency in SQL and Python (Scala or Java a plus).
  • Proven ability to influence senior leaders, drive enterprise alignment, and deliver outcomes in highly regulated environments.
  • Strong communication skills-capable of translating complex engineering concepts for executive, business, and technical audiences.
  • Strong background in modernizing legacy systems, including Informatica ETL, Hadoop/Big Data systems, and mainframe workloads (batch pipelines, reporting interfaces).
  • Experience with microservices, containers (Kubernetes/OpenShift), API gateways, and integration patterns.

Representative tools/technologies :

Azure (ADLS Gen2, Event Hubs, Key Vault), Databricks, Snowflake, Informatica, Kafka, Mainframe/Z Series job orchestration, Oracle/Postgres, Python, SQL, Java/Scala (optional), Git, Azure DevOps/Jenkins, Docker/Kubernetes/OpenShift, Collibra, AppDynamics/Splunk/Grafana.Starburst

Desired Qualifications

  • Experience in Payments, Channels, CashPro, or analytics driven applications.
  • Knowledge of semantic layers (dbt, LookML), data quality frameworks (Great Expectations/Deequ), and data governance (Purview, Collibra).
  • FinOps experience with cost optimization for cloud data workloads.
  • Advanced understanding of streaming, event driven architectures, and ML/AI integration.

Job Description:
This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a "go to" reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities.

Responsibilities:

  • Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
  • Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
  • Creates ideas on designing complex technology and solution development approaches
  • Leads the technical oversight for teams in solution development including design reviews and code within own domain
  • Defines the technology tool stack for the solution within ranged of internally approved and supported technologies
  • Explores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release management
  • Leads and is responsible for the end-to-end test strategy/creation/adherence, and the integration between teams for a program/portfolio solution

Skills:

  • Automation
  • Influence
  • Result Orientation
  • Stakeholder Management
  • Technical Strategy Development
  • Application Development
  • Architecture
  • Business Acumen
  • Risk Management
  • Solution Design
  • Agile Practices
  • Analytical Thinking
  • Collaboration
  • Data Management
  • Solution Delivery Process

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101)Pay and benefits informationPay range$156,500.00 - $230,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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