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Data Solutions Developer Jobs in Arizona (NOW HIRING)

Smart Synergies

Data Engineering Lead

Glendale, AZ · On-site

... data solutions. Major Responsibilities: Architectural Design and Implementation: Design and ... Familiarity with CI/CD pipelines and DevOps practices in a data engineering context. Soft Skills:

Tekdoors

Big Data Developer (GCP) - Need Locals

Phoenix, AZ · On-site

$52.50 - $68.25/hr

Big Data Developer (GCP) Location: Phoenix, AZ (Only Local Candidates) Experience: 5-7 Years Work ... Collaborate with architecture, product, and analytics teams to deliver high-impact data solutions.

Troon

Dynamics 365 Developer

Scottsdale, AZ · On-site

Additionally, as a hands-on developer, you will play a key role in the design, development, and ... solution design and architecture. * Create technical design documents, including data models ...

Troon Golf

Dynamics 365 Developer

Scottsdale, AZ · On-site

Additionally, as a hands-on developer, you will play a key role in the design, development, and ... solution design and architecture. * Create technical design documents, including data models ...

State Farm

DATA ENGINEER-Python, AWS, Spark (Hybrid)

Tempe, AZ · Hybrid

$109K - $131K/yr

... DevOps, DataOps and data engineering practices * Develops and maintains reusable, scalable, and compliant data solutions across multiple platforms and compute environments * Responsible for the ...

IntraEdge

Senior Solutions Data Architect

Scottsdale, AZ · On-site

$68.75 - $91.75/hr

Under minimal Supervision the Senior Data and Solutions Architect provides vision, direction, as ... In partnership with Enterprise Architecture and IT Engineering teams, this role will drive the ...

IntraEdge

Senior Solutions Data Architect

Scottsdale, AZ · On-site

$68.75 - $91.75/hr

Under minimal Supervision the Senior Data and Solutions Architect provides vision, direction, as ... In partnership with Enterprise Architecture and IT Engineering teams, this role will drive the ...

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Data Solutions Developer information

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.

What are popular job titles related to Data Solutions Developer jobs in Arizona?

For Data Solutions Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Solutions Developer jobs in Arizona look for?

The top searched job categories for Data Solutions Developer jobs in Arizona are:

What cities in Arizona are hiring for Data Solutions Developer jobs?

Cities in Arizona with the most Data Solutions Developer job openings:

Data Solutions Developer jobs near you
Infographic showing various Data Solutions Developer job openings in Arizona as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineering Lead

Smart Synergies

Glendale, AZ • On-site

Other

Re-posted 15 days ago

Job description

Job Summary:

We are seeking an experienced and highly skilled Data Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and its associated ecosystem. The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in delivering scalable and secure data solutions.

Major Responsibilities:

Architectural Design and Implementation:

Design and implement robust, scalable, and efficient data architectures leveraging Azure Data Lake and Databricks.

Define and enforce best practices for data ingestion, storage, processing, and retrieval.

Optimize data workflows to ensure high performance and cost efficiency.

Data Governance and Security:

Develop and implement security measures for Azure Data Lake, ensuring compliance with organizational and regulatory standards.

Manage role-based access control (RBAC), encryption, and other security protocols within Azure Subscriptions.

Collaborate with security teams to perform regular audits and vulnerability assessments.

Team Leadership and Collaboration:

Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.

Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams, to deliver data-driven solutions.

Drive agile practices and ensure timely delivery of projects.

Platform Optimization and Monitoring:

Oversee the deployment and management of Azure Data Lake and Databricks environments.

Implement monitoring and alerting systems to ensure system reliability and performance.

Evaluate and incorporate new Azure services and technologies to enhance the data platform.

Strategic Planning and Roadmap Development:

Develop and execute a roadmap for data engineering aligned with business objectives.

Stay abreast of industry trends and advancements in data engineering and Azure technologies.

Provide recommendations for long-term data strategy, including data lakehouse adoption and cloud optimization.

Education and Experience Requirements:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

8+ years of experience in data engineering, with at least 3 years in a leadership role.

Extensive hands-on experience with Azure Data Lake, Databricks, and other Azure services.

Proven expertise in architecting and implementing large-scale data solutions.

ship is required for this position.

Required Knowledge and Skills:

Technical Skills:

Proficiency in SQL.

Deep understanding of Azure security concepts, including subscription management, RBAC, and data encryption.

Experience with data modeling, ETL pipelines, and big data technologies.

Familiarity with CI/CD pipelines and DevOps practices in a data engineering context.

Soft Skills:

Strong leadership and team management abilities.

Excellent communication and stakeholder management skills.

Analytical mindset with a proactive approach to problem-solving.

Preferred Qualifications:

Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Experience with implementing data lakehouse architectures.

Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA.

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