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Data Solutions Jobs (NOW HIRING)

ACI Infotech

Data Solutions Architect

Enterprise Data Solution Architect Atlanta, GA(Remote) Full-time role Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications:

Pattern Data

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

What You'll Do As a Data Solutions Analyst at Pattern Data, you will specialize in settlement support, becoming a trusted resource on the facets of each settlement program. You'll partner with ...

Pattern Data

Data Solutions Analyst

Pittsburgh, PA

$80K - $110K/yr

What You'll Do As a Data Solutions Analyst at Pattern Data, you will specialize in settlement support, becoming a trusted resource on the facets of each settlement program. You'll partner with ...

Spaulding Ridge

Data Solutions Architect

Chicago, IL · On-site

$116K - $223K/yr

Data Solutions Architect We are looking for a Data Solutions Architect to join our Data Solutions team! As a Data Solutions Architect, you'll be responsible for pre-sales, estimation, scoping ...

Grocery Outlet

Data Solutions Architect

Emeryville, CA · On-site

$140K - $155K/yr

The Data Solution Architect will help define strategy both within and outside of SAP, drive design and technical implementation, and architect innovative solutions in close collaboration with the ...

Similarweb

Data Solutions Architect

New York, NY · On-site

$90K - $145K/yr

Our unique data and solutions empower over 6,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In ...

Similarweb

Data Solutions Architect

New York, NY · On-site +1

$90K - $145K/yr

Our unique data and solutions empower over 6,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In ...

Similarweb

Data Solutions Architect

New York, NY · On-site +1

$90K - $145K/yr

Our unique data and solutions empower over 6,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In ...

MANSCAPED

Data Solutions Architect

Who We're Looking For - Reporting to the VP of Strategy, Insights & Analytics , we are seeking a Data Solutions Architect to serve as the primary architect and guardian of our enterprise data ...

Agelix Consulting

Data Solutions Architect

Seattle, WA · On-site

Data Solutions Architect Location: Seattle, WA Role Overview: You are the technical backbone of the data ecosystem. You will design and implement the robust, scalable environments required to move ...

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DATA Solutions information

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How much do data solutions jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data solutions in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Data Solutions job?

A Data Solutions job involves designing, developing, and implementing data-driven solutions to help organizations manage, analyze, and utilize their data effectively. Professionals in this role work with data storage, processing, and analytics tools to improve business decision-making. They may collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, reliable, and secure. Responsibilities often include cloud data management, database optimization, and system integrations.

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

To thrive in Data Solutions, you need strong analytical abilities, a solid grasp of data management, and experience with data integration, transformation, and visualization—often supported by a degree in computer science, data science, or a related field. Familiarity with tools such as SQL, ETL platforms, business intelligence tools (like Tableau or Power BI), and cloud databases is highly valuable, as are certifications in data analytics or cloud technologies. Excellent problem-solving skills, project management, and clear communication are key soft skills that help you interpret requirements and translate them into actionable solutions. These skills and qualities are vital for ensuring organizations can effectively leverage data to make informed decisions and maintain a competitive edge.

What is a data solutions job description?

A data solutions job involves designing, developing, and implementing data management and analytics systems to help organizations make data-driven decisions. It typically requires skills in data modeling, database management, and familiarity with tools like SQL, Python, or data visualization software. The role may also involve collaborating with teams to optimize data workflows and ensure data quality.

What is the highest paying data job?

The highest paying data job is typically a Chief Data Officer or Data Executive, earning six-figure salaries or higher, especially in large organizations. Senior roles such as Data Architects or Data Science Directors also command high compensation, often supplemented by bonuses and stock options, depending on experience and industry.

What professions make 500,000 a year?

In the field of data solutions, senior roles such as Chief Data Officer, Data Science Director, or Data Engineering Manager can earn $500,000 or more annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data analysis, machine learning, and leadership, along with strong business acumen and often a master's or Ph.D. degree.

Is 40 too late for data science?

Data solutions roles in data science do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Age should not be a barrier if you build a strong portfolio and stay current with industry developments.

What are the main career growth opportunities for professionals in Data Solutions roles?

Careers in Data Solutions offer a wide range of advancement opportunities, as professionals can move into specialized positions such as data architect, data engineer, or solutions architect, or transition into leadership as project managers or heads of data strategy. With the rapid expansion of data-driven initiatives across industries, the demand for experienced professionals often leads to roles in consulting, team leadership, or enterprise-level data strategy. Continuous skill development in emerging technologies like cloud computing and machine learning can further accelerate career progression. Many organizations also offer formal training and mentorship to help Data Solutions professionals achieve their career goals.

More about DATA Solutions jobs
What cities are hiring for Data Solutions jobs? Cities with the most Data Solutions job openings:
What are the most commonly searched types of Data Solutions jobs? The most popular types of Data Solutions jobs are:
What states have the most Data Solutions jobs? States with the most job openings for Data Solutions jobs include:
What job categories do people searching Data Solutions jobs look for? The top searched job categories for Data Solutions jobs are:
DATA Solutions jobs near you
Infographic showing various Data Solutions job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Solutions Architect

Allied Solutions LLC

Carmel, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

175th of 300 rated insurance

Job description

The Data Solutions Architect is a strategic role within the organization, responsible for designing data and cloud technology solutions that meet business requirements while adhering to best practices and aligning with the enterprise data architecture. The Data Solutions Architect acts as the bridge between business objectives and technology solutions, ensuring that the data capabilities and data platform created are robust, scalable, and secure. This position requires a comprehensive understanding of both business processes and technical capabilities. The Data Solutions Architect will be expected to be hands-on technically, but also present to leadership and lead projects.
Job Duties and Responsibilities:
Solutions Design (25%)
  • Analyze Business Requirements: Work closely with stakeholders to understand functional and non-functional requirements for the data solution.
  • Define Architecture Components: Identify and design data components, including data flow, integration points, interfaces, and overall architecture.
  • Create Architecture Diagrams: Develop high-level and detailed diagrams (e.g., flowcharts, sequence diagrams, system interaction models) to represent the solution architecture.
  • Select Appropriate Technologies: Choose frameworks, languages, and tools that align with the architecture, ensuring they meet both current needs and scalability requirements.
  • Ensure Scalability and Security: Design the solution to be scalable, reliable, and secure, incorporating security standards and performance considerations.
  • Assess the Impact of Architectural Decisions: Evaluate how design choices impact current and future systems, ensuring they fit within the broader enterprise architecture.

Stakeholder Collaboration (20%)
  • Gather Requirements with Stakeholders: Facilitate workshops and meetings with business analysts, project managers, developers, and other stakeholders to understand project needs.
  • Communicate Design Decisions: Explain architectural decisions and solution designs to non-technical stakeholders in an understandable way, including how the design aligns with business goals.
  • Coordinate with Development Teams: Work with development leads to align project timelines, resource allocation, and technical requirements.
  • Participate in Project Meetings: Attend regular project updates and stand-ups to align with project status and provide architecture-related guidance.
  • Resolve Conflicts: Address and resolve any misunderstandings or misalignments between technical and business stakeholders regarding project scope and design.

Technical Leadership and Oversight (20%)
  • Provide Technical Guidance: Offer ongoing guidance to the development team, helping them align with the data solution architecture.
  • Code Reviews and Quality Assurance: Review code and design work to ensure compliance with architectural standards and best practices.
  • Assist in Troubleshooting and Debugging: Help resolve any technical challenges, especially those related to architectural constraints or requirements.
  • Enforce Best Practices: Ensure the use of best practices in areas like coding standards, API design, integration methods, and performance optimization.
  • Evaluate Technical Debt: Identify and address technical debt areas to ensure the maintainability and scalability of the solution.

Documentation (15%)
  • Prepare Architecture Documentation: Create and maintain detailed documentation that outlines the architecture, including design specifications and component details.
  • Maintain Technical Roadmaps: Develop roadmaps for technical implementation and deployment and update these based on project evolution.
  • Document Key Decisions and Assumptions: Record major architectural decisions, assumptions, and rationales to provide context for future reference.
  • Create User Guides and Training Materials: As necessary, prepare materials to help other teams understand and use the architecture effectively.
  • Update and Archive Documentation: Ensure all documentation is current and accessible, archiving outdated materials as the project progresses.

Evaluation of Technologies, Training and Prototyping (10%)
  • Research New Tools and Frameworks: Continuously research emerging tools, libraries, and frameworks that could improve the solution architecture.
  • Develop Proof of Concepts (POCs): Create small-scale prototypes to test and validate new technologies or architecture approaches.
  • Evaluate Technology Fit: Assess whether new technologies fit within the existing environment and can meet the organization's needs.
  • Identify Potential Use Cases: Determine how new technologies could enhance current or future solutions.
  • Collaborate on Tool Selection: Work with procurement or technical teams to select and adopt new tools or platforms.
  • Stay Updated on Industry Trends: Keep up with industry news, emerging technologies, and architecture best practices through conferences, courses, or professional networks.
  • Conduct Knowledge Sharing Sessions: Organize workshops or training sessions to share architectural insights with other teams.
  • Contribute to Internal Standards and Best Practices: Help develop and refine internal standards and best practices, ensuring they are aligned with current industry standards.

Risk Management and Problem Solving (10%)
  • Identify Architectural Risks Early: Analyze and highlight potential risks, including security, scalability, and performance risks, that may impact the project's success.
  • Develop Mitigation Strategies: Propose and implement solutions to mitigate risks, including alternative designs or contingency plans.
  • Troubleshoot Architectural Issues: Address and resolve technical challenges that impact architecture, including integration problems or performance bottlenecks.
  • Monitor Project Progress for Risks: Regularly review project progress to identify and address emerging risks proactively.
  • Maintain Compliance with Standards: Ensure the architecture adheres to industry standards, legal regulations, and internal governance requirements.

Qualifications (Education, Experience, Certifications & KSA):
  • Bachelor's or Master's degree in computer science, Information Technology, or a related field or equivalent work experience.
  • 7+ years of experience in IT, with at least 2+ years in a data architecture role.
  • Proven track record of designing, implementing, and managing complex data systems, pipelines, and solutions.
  • Proficiency in architecture frameworks such as TOGAF, Zachman, or similar.
  • Deep knowledge of cloud platforms (e.g., AWS, Azure, GCP) and cloud-native solutions.
  • Strong experience with medallion architectures, APIs, data modeling, integration patterns, data governance, and enterprise data platforms.
  • Knowledge of various technologies, such as Java, C#, Python, Git, Informatica, AWS Glue, Lambda, Spark, Hadoop, OLAP, Windows, Snowflake, and Oracle.
  • Experience with databases (SQL and NoSQL), DevOps tools, CI/CD pipelines, and containerization technologies like Docker and Kubernetes.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and interpersonal skills for working with diverse stakeholders.
  • Ability to explain complex technical concepts to non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or similar credentials are preferred but not required.

We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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