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Contract Snowflake Remote Jobs in Rhode Island (NOW HIRING)

Data Architect

Johnston, RI · Remote

$64.75 - $83.25/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Develop and enhance canonical data models, semantic models, and domaindriven data contracts to ...

Contract Snowflake Remote information

What is the difference between Contract Snowflake Remote vs Contract Data Engineer Remote?

AspectContract Snowflake RemoteContract Data Engineer Remote
Required SkillsSnowflake platform, SQL, data warehousingData pipelines, SQL, cloud platforms, ETL processes
CertificationsSnowflake certifications often preferredData engineering certifications (e.g., AWS, GCP) beneficial
Work EnvironmentRemote, project-based, cloud-focusedRemote, collaborative, cloud and data infrastructure
Industry UsageData analytics, cloud data platformsData integration, analytics, infrastructure development

Contract Snowflake Remote roles focus on managing and optimizing Snowflake data warehouses, requiring expertise in Snowflake and SQL. Contract Data Engineer Remote positions involve building data pipelines and infrastructure across cloud platforms. While both are remote and involve data, Snowflake roles are more specialized in data warehousing, whereas Data Engineer roles cover broader data engineering tasks.

What are the key skills and qualifications needed to thrive as a contract Snowflake remote professional?

To thrive as a Contract Snowflake Remote professional, you need expertise in data warehousing, SQL, ETL processes, and a solid understanding of Snowflake's architecture, typically backed by relevant experience or certifications. Familiarity with tools like Snowflake, cloud platforms (Azure, AWS, or GCP), and data integration systems such as Informatica or Talend is essential. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These competencies ensure efficient data management, seamless collaboration, and successful delivery of data solutions in distributed work environments.

What are some common challenges faced by remote contractors working with Snowflake, and how can they be addressed?

Remote contractors working with Snowflake often encounter challenges such as collaborating effectively with distributed teams, ensuring secure data access, and managing time zone differences. To address these, it's important to establish clear communication channels, leverage secure VPNs and role-based access controls, and use project management tools to stay aligned with team goals. Additionally, staying updated on Snowflake’s evolving features and best practices can help you deliver high-quality work and remain competitive in the contract market.

What is a contract Snowflake remote?

A Contract Snowflake Remote job refers to a temporary or project-based position where the professional works with the Snowflake cloud data platform, and the work is done remotely rather than on-site. These roles typically involve tasks such as data engineering, database administration, or analytics using Snowflake. Contract positions usually have a defined duration and may be full-time or part-time, offering flexibility for both the employer and the contractor. Remote work allows professionals to collaborate with teams and complete their responsibilities from anywhere, leveraging online tools and communication platforms. This type of job is especially common in tech and data-driven industries looking for specialized Snowflake expertise without a long-term commitment.
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$64.75 - $83.25/hr

Full-time

Re-posted 15 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and realtime streaming architectures using Kafka. This role drives alignment across business domains and enables highquality, governed, and interoperable data for analytics and operational use cases.

Responsibilities:

  1. Develop and enhance canonical data models, semantic models, and domaindriven data contracts to enable crossenterprise data interoperability.
  2. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.
  3. Design and implement data architecture patterns to support realtime streaming solutions using Kafka.
  4. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, wellgoverned data models.
  5. Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
  6. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake.
  7. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
  8. Support enterprise initiatives around realtime data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.

Requirements

  • Significant experience with canonical data modeling and enterprisewide conceptual/logical/physical modeling.
  • Strong background in semantic modeling and data mesh design principles.
  • Handson experience with Kafka, including event modeling, schema strategy, and realtime pipeline architecture.
  • Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.
  • Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.
  • Familiarity with data governance, data quality, metadata, and lineage frameworks.
  • Strong SQL skills and proficiency in at least one programming language (Python preferred).
  • Excellent communication skills with the ability to work across technical and business teams.
  • Handson experience with enterprise data catalog and metadata systems.
  • AWS certification (Solutions Architect, Data Analytics Specialty, etc.)

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.