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Data Curation Jobs in Arizona (NOW HIRING)

In collaboration with supervisor, curatorial personnel, and stakeholders, collaborate on the design ... data collection and interpretation. * Collaboriate with collections and exhibition personnel.to ...

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Data Curation information

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$10

$43

$69

How much do data curation jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data curation in Arizona is $43.52, according to ZipRecruiter salary data. Most workers in this role earn between $28.94 and $57.18 per hour, depending on experience, location, and employer.

What is a data curation?

A Data Curation job involves collecting, organizing, maintaining, and ensuring the quality of data for accuracy and accessibility. Data curators clean and structure datasets, manage metadata, and ensure compliance with data governance standards. They work closely with data scientists, analysts, and engineers to support data-driven decision-making. This role is essential in industries like research, healthcare, finance, and technology, where high-quality data is crucial for insights and innovation.

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

To excel in Data Curation, you need a strong background in data management, information science, and database technologies, often supported by a degree in a related field. Familiarity with data wrangling tools, metadata standards, programming languages (such as Python or R), and data management systems is highly valuable. Attention to detail, analytical thinking, and collaborative communication are standout soft skills in this position. These abilities ensure data integrity, usability, and accessibility, which are essential for supporting robust decision-making and research outcomes.

What are some typical challenges faced by professionals in data curation roles?

Professionals in Data Curation often manage large, complex datasets from diverse sources, which can present challenges in ensuring consistency, accuracy, and proper documentation. They may encounter incomplete or poorly formatted data that requires significant cleaning and standardization. Collaborating with researchers, data engineers, and subject matter experts is common to clarify requirements and maintain data integrity. Staying current with evolving data standards and technologies is also key to success, making adaptability important in daily work.

How do you become a data curator?

To become a data curator, you typically need a bachelor's degree in a related field such as information science, computer science, or data management. Gaining experience with data organization, metadata standards, and tools like database management systems or data cleaning software is important, along with developing strong analytical and attention-to-detail skills.

Is a data curator a good job?

A data curator manages and organizes data sets to ensure quality, consistency, and accessibility, often using tools like databases and data management software. It is a growing field with opportunities in industries such as healthcare, finance, and technology, and typically requires strong attention to detail and knowledge of data standards. The role can offer stable employment and the chance to develop specialized skills in data management.

What does a data curator do?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within a database or repository. They select relevant data, apply standards for consistency, and often use tools like data management software to prepare data for analysis or sharing.

What are the most commonly searched types of Data Curation jobs in Arizona?

The most popular types of Data Curation jobs in Arizona are:

Infographic showing various Data Curation job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $90,515 per year, or $43.5 per hour.

Snowflake Architect/Modeler (Azure Focus)

xCroTek

Snowflake, AZ โ€ข On-site

$120 - $150/hr

Other

Posted 14 days ago


Job description

April 7, 2026

5 Min Read

Job Category: Developer

Job Type: Full Time

Job Location: Remote

Job status: Open

About xCroTek

xCroTek is a product- and service-based AI software company that builds innovative, AI-powered solutions to drive intelligent automation and digital transformation. We specialize in creating scalable, impactful technologies for modern businesses.

Job Overview

We are looking for a skilled Snowflake Architect/Modeler with 5-7 years of experience to lead the design and implementation of scalable data solutions on the Snowflake platform hosted on Azure. In this role, you will architect data pipelines adhering to the Medallion Architecture (Bronze, Silver, Gold layers), research legacy source systems, and create optimized data models to enable robust analytics and business intelligence. The ideal candidate excels in translating complex business requirements into technical designs, with a strong emphasis on data governance, performance, and seamless integration with Azure services. This position offers the chance to drive data modernization initiatives in a collaborative, Azurecentric environment.

Key Responsibilities
  • Architect comprehensive Snowflake solutions following the Medallion Architecture framework, including ingestion into Bronze (raw), transformation to Silver (refined), and curation into Gold (aggregated) layers.
  • Research and analyse source systems (e.g., on-premises databases, SaaS applications) to document tables, columns, relationships, and underlying business logic in existing data processing workflows.
  • Design Snowflake-compatible data models using Erwin for conceptual, logical, and physical modeling; generate DDL scripts; and create detailed source-to-target mappings for ETL/ELT processes.
  • Develop and optimise data ingestion pipelines using Snowflake features such as Snowpipe for continuous loading, Streams for change data capture, Tasks for scheduling, and Dynamic Tables for materialisation.
  • Collaborate with stakeholders, data engineers, and Azure teams to define requirements, ensure data lineage, and implement secure, compliant data flows integrated with Azure services like Azure Data Factory, Synapse, and Blob Storage.
  • Perform data quality assessments, performance tuning, and optimisation of queries and warehouses to support high-volume analytics on Azure.
  • Lead data migration and modernisation projects from legacy systems to Snowflake on Azure, ensuring minimal downtime and adherence to best practices.
  • Document architectures, mappings, and designs; conduct peer reviews; and mentor junior team members on Snowflake and Azure integrations.
Required Qualifications
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Data Engineering, or a related field.
  • 5-7 years of experience in data architecture, modeling, and engineering, with at least 3 years handsโ€‘on with Snowflake on Azure.
  • Expertise in Medallion Architecture implementation, including layering strategies for data ingestion, transformation, and consumption.
  • Proven ability to reverseโ€‘engineer source systems, capturing metadata (tables, columns) and business rules for accurate data modeling.
  • Proficiency in data modeling tools like Erwin for designing relational and dimensional models; experience generating DDLs and creating sourceโ€‘toโ€‘target mapping documents.
  • Strong handsโ€‘on experience designing and developing Snowflake native features: Snowpipe, Streams, Tasks, Time Travel, and clustering for Azureโ€‘hosted environments.
  • Inโ€‘depth knowledge of SQL for advanced querying, optimisation, and Azureโ€‘Snowflake integrations (e.g., Azure AD for authentication, external stages).
  • Familiarity with Azure ecosystem, including Data Lake, Synapse Analytics, and security/compliance standards (e.g., Azure Sentinel, GDPR).
Preferred Qualifications
  • Experience with ETL/ELT tools like dbt, Matillion, or Azure Data Factory for orchestrating pipelines in a Medallion setup.
  • Background in big data technologies (e.g., Spark on Azure Databricks) integrated with Snowflake.
  • Snowflake certifications (e.g., SnowPro Core, Advanced Architect) and Azure certifications (e.g., DP203: Data Engineering on Microsoft Azure).
  • Knowledge of data governance tools like Collibra or Alation for lineage and cataloguing in Azure environments.
Technical Skills
  • Core: Snowflake (Snowpipe, Streams, Tasks, Medallion Architecture), SQL, Data Modeling (Erwin, DDLs, Sourceโ€‘toโ€‘Target Mapping)
  • Tools & Technologies: dbt, Fivetran; Reverse Engineering (e.g., SQL Server, Oracle sources)
  • Concepts: Data Lineage, Performance Optimisation, Security (RBAC, Encryption), ELT Pipelines
Soft Skills
  • Exceptional communication skills to articulate complex technical concepts to nonโ€‘technical stakeholders and facilitate crossโ€‘team collaboration.
  • Proven track record of timely delivery on projects, with strong organisational skills and the ability to manage multiple priorities in a fastโ€‘paced Azure environment.
  • Analytical problem solver with attention to detail and a proactive mindset for innovation.
How to Apply

Interested candidates should submit their resume and a brief cover letter explaining their interest in the role to hr@xcrotek.com. Please include โ€œSnowflake Architect/Modeler (Azure Focus)โ€ in the subject line.

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