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Snowflake Jobs in Ridgewood, NJ (NOW HIRING)

Sr Snowflake Data Engineer

New York, NY · On-site

$125K - $150K/yr

Required Skills Minimum 2 years of experience in designing and implementing a fully operational solution on Snowflake Data Warehouse Experience with Python and a major relational database Excellent ...

Sr Snowflake Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Required Skills Minimum 2 years of experience in designing and implementing a fully operational solution on Snowflake Data Warehouse Experience with Python and a major relational database Excellent ...

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Snowflake information

See Ridgewood, NJ salary details

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$85

How much do snowflake jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for snowflake in Ridgewood, NJ is $68.40, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $77.60 per hour, depending on experience, location, and employer.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and experience with cloud environments can enhance job prospects in this field.

What is a Snowflake job?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

How much do Snowflake employees make?

Salaries for Snowflake employees vary by role, experience, and location, but the average base salary ranges from approximately $100,000 to $150,000 annually for many positions. Technical roles such as data engineers and software engineers tend to be higher, often exceeding $120,000, with additional compensation like bonuses and stock options common in the company’s compensation packages.

Is Snowflake skill in demand?

Snowflake skills are highly in demand as organizations increasingly adopt cloud data warehousing solutions. Professionals with expertise in Snowflake, along with knowledge of SQL and data management, often find strong job opportunities across various industries.

How hard is it to get a job at Snowflake?

Getting a job as a Snowflake professional typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with experience in data management or analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it competitive but achievable with proper preparation.

What are the key skills and qualifications needed to thrive in the Snowflake position, and why are they important?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are the most commonly searched types of Snowflake jobs in Ridgewood, NJ? The most popular types of Snowflake jobs in Ridgewood, NJ are:
What are popular job titles related to Snowflake jobs in Ridgewood, NJ? For Snowflake jobs in Ridgewood, NJ, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Ridgewood, NJ look for? The top searched job categories for Snowflake jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Snowflake jobs? Cities near Ridgewood, NJ with the most Snowflake job openings:
Infographic showing various Snowflake job openings in Ridgewood, NJ as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $142,278 per year, or $68.4 per hour.
Snowflake Data Architect with Cortex

Snowflake Data Architect with Cortex

United Airlines

Manhattan, NY • On-site

$70.25 - $90.25/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 337 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location : Arlington, VA/ Alpharetta, GA/ New York, NY (Onsite/Hybrid)
Job Description

We are seeking a Data Architect with deep expertise in Snowflake-based data platforms and AI-driven analytics. This role will lead end-to-end data architecture, drive scalable and secure data solutions, and enable advanced analytics and AI/ML use cases leveraging Snowflake Cortex and modern data stack technologies. The ideal candidate will combine strong technical leadership, hands-on architecture skills, and the ability to collaborate with cross-functional business and technical teams.

Required Qualifications
  • 8+ years of experience in data architecture, data engineering, or data platform roles with at least 4 years specifically designing and optimizing solutions on Snowflake
  • Deep expertise in Snowflake features including warehouses, resource monitors, zerocopy cloning, Time Travel, data sharing, Snowpark, Tasks/Streams, and security/governance controls
  • Strong proficiency in SQL, data modeling (conceptual, logical, physical), ETL/ELT patterns, and cloud data platforms (AWS, Azure, or GCP)
  • Proven experience designing secure, scalable architectures for analytics, reporting, and machine learning workloads
  • Solid understanding of data governance, quality, lineage, and compliance (e.g., GDPR, SOC2, HIPAA if applicable)
  • Bachelor's or Master's degree in computer science, Information Systems, Engineering, or a related field, or equivalent experience
  • Excellent communication, stakeholder management, and leadership skills
Key Responsibilities
  • Lead endtoend data architecture and solution design for Snowflakebased data platforms including logical/physical data models, ingestion patterns (batch, streaming, Snowpipe), storage layers (raw, curated, consumption/semantic), and consumption patterns for analytics, BI, and AI/ML
  • Design and optimize scalable, highperformance data warehouses, data lakes, and lakehouse architectures on Snowflake focusing on performance tuning, query optimization, cost management, workload/warehouse strategies, and autoscaling
  • Architect and implement AIpowered solutions using Snowflake Cortex including Cortex LLM functions, Cortex Search for semantic/vector/RAG capabilities, Cortex Analyst for conversational analytics, Document AI, and integration with external LLMs (e.g., for finetuning, agents, and multimodal data processing)
  • Define and enforce data governance, security, and compliance frameworks including RBAC, row/column access policies, dynamic data masking, encryption, secure data sharing, and private listings
  • Design data pipelines integrating with various sources (onprem, cloud, SaaS) and orchestration tools; implement realtime capabilities using Streams, Tasks, and Snowpark (Python/Scala/Java)
  • Collaborate with data engineers, analysts, scientists, and business stakeholders to deliver governed, reusable data products that accelerate analytics and AI initiatives
  • Provide technical leadership in migrations to Snowflake from legacy systems (e.g., onprem warehouses, other clouds) and establish reference architectures, patterns, and standards
  • Monitor platform health, optimize for cost/performance, and implement disaster recovery, replication, and highavailability strategies
  • Mentor junior architects and engineers, conduct design reviews, and promote best practices in data modeling (e.g., Data Vault, Kimball, or hybrid semantic modeling) and AIready data foundations
Preferred Skills and Experience
  • Handson experience with Snowflake Cortex AI capabilities including Cortex Search, Cortex Analyst, LLM functions, vector embeddings, RAG patterns, and building AI agents or applications within Snowflake
  • SnowPro Core, Advanced, or Architect certifications
  • Experience with modern data stack tools such as dbt, Airflow, Kafka, Spark, Fivetran, Matillion, or similar
  • Knowledge of AI/ML workflows, vector databases, semantic search, and integrating structured and unstructured data for generative AI
  • Background in Data Vault 2.0, dimensional modeling, or domaindriven design
  • Experience in regulated industries (finance, healthcare, pharma) or largescale enterprise environments is a plus

The base compensation range for this role in the posted location is:90786-110762

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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