1872 Consulting
1872 Consulting

61 1872 Consulting Data Architect Jobs Hiring Near You

Data Architect

Austin, TX · Hybrid

$63.25 - $81.25/hr

Partner with Implementation Project Managers and Solution Consultants to ensure data architecture supports predictable delivery timelines. * Establish standardized migration playbooks, mapping ...

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1872 Consulting Jobs Information

What are the key skills and qualifications needed to thrive as a Data Architect, and why are they important?

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

How does a Data Architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

What are Data Architects?

Data Architects are IT professionals responsible for designing, creating, and managing an organization's data infrastructure. They develop blueprints for data management systems to integrate, centralize, and maintain data efficiently and securely. Data Architects ensure that data is accessible, reliable, and meets the needs of the business while adhering to industry standards and compliance requirements. Their work often involves collaborating with database administrators, data engineers, and business stakeholders.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

What are the most popular categories at 1872 Consulting?
Infographic showing various Data Architect job openings at 1872 Consulting in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 65% Physical, 32% Hybrid, and 3% Remote job distribution.

$63.25 - $81.25/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


Togetherwork rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

87th of 184 rated software companies


Job description

Data Architect


Location: Austin, TX (hybrid)

Schedule: Full-time | Hybrid (2-3 days in office)

Work Authorization Notice:
At this time, we are unable to provide immigration sponsorship for this position. Candidates must have current, unrestricted authorization to work in the country where the role is based.

About Us
Togetherwork is a $250M recurring revenue SaaS business with more than 33 software applications serving over 12 vertical markets. We help communities, organizations, and businesses thrive by delivering purpose-built software that supports their missions and operations.

Headquartered on South Congress in Austin, TX, Togetherwork is scaling rapidly. We are customer-focused, execution-driven, and committed to operational excellence. Our teams value accountability, collaboration, and continuous improvement. We are building a modern data foundation to support our next phase of growth.

About This Role

Togetherwork is seeking a highly skilled and strategic Data Architect to support Protech implementations on the Microsoft Dynamics 365 platform. In this role, you will design and govern data migration, integration architecture, and CRM data models that enable scalable, reliable, and efficient onboarding outcomes. You will collaborate cross-functionally with Onboarding, Product, Engineering, and Analytics teams to ensure data integrity, reduce implementation risk, and support long-term platform scalability.

What You'll Do

  • Conduct client data readiness assessments, evaluating source systems, data quality, and migration complexity during early implementation phases.
  • Define data cleansing, transformation, and validation frameworks to improve migration success rates.
  • Partner with Implementation Project Managers and Solution Consultants to ensure data architecture supports predictable delivery timelines.
  • Establish standardized migration playbooks, mapping templates, and reusable ETL frameworks to accelerate onboarding and reduce implementation risk.
  • Design and maintain conceptual, logical, and physical data models within Microsoft Dynamics 365 (Protech).
  • Define and document data architecture standards, integration patterns, and governance best practices.
  • Architect and oversee ETL processes using SSIS and other standard ETL tools.
  • Design and implement integrations leveraging KingswaySoft and/or Pentaho Data Integration.
  • Lead data migration strategy and execution support for onboarding and implementation projects.
  • Identify data dependencies, risks, and integration gaps early in the delivery lifecycle.
  • Ensure secure, scalable, and high-performance data exchange between D365 and external systems.
  • Collaborate with Product and Engineering to assess the architectural impact of platform enhancements.
  • Partner with Analytics teams to ensure reporting accuracy, consistency, and data integrity.
  • Develop reusable integration templates, migration accelerators, and standardized data patterns.
  • Proactively identify systemic data design issues and recommend improvements to reduce rework and onboarding delays.
  • Utilize AI-enabled tools to analyze source system data structures, identify data quality risks, and support scalable migration and integration architectures.
  • Maintain clear documentation of data flows, mappings, transformations, and integration logic.

What You'll Bring

  • 5+ years of experience in Data Architecture, Data Engineering, or related roles.
  • Strong experience with Microsoft Dynamics 365 and CRM data structures.
  • Hands-on expertise with SQL Server and advanced SQL querying.
  • Proven experience with SSIS and enterprise ETL development.
  • Experience with KingswaySoft and/or Pentaho Data Integration.
  • Strong background in data modeling and multi-system integration architecture.
  • Ability to evaluate architectural tradeoffs in complex environments.
  • Experience supporting SaaS, professional services, or enterprise implementations.
  • Bachelor's degree from an accredited college or university, or equivalent experience.
  • Strong analytical, problem-solving, and systems-thinking skills.
  • Excellent written and verbal communication skills.
  • Ability to influence cross-functional stakeholders without direct authority.
  • Experience working in client-facing consulting or professional services environments.
  • Ability to explain complex data architecture concepts to non-technical stakeholders.

Preferred:

  • Knowledge of Microsoft Azure data services (Azure Data Factory, Azure SQL, or related).
  • Experience migrating data from legacy CRM/AMS systems and non-normalized data sources.

Why You'll Love Working Here
At Togetherwork, we help community-driven organizations grow and thrive-creating better experiences for the people they serve. You will play a critical role in shaping the enterprise data foundation that powers our TW28 vision.

We are guided by values that shape how we work every day:

  • Obsess over our customers
  • Own it. Together.
  • Move fast with purpose

The Company offers a comprehensive employee benefits program, including:

* Medical, dental, and vision insurance options
* 100% Employer paid short/long term disability
* Basic Life
* 401(k) option with 100% company match up to 4%
* Flexible paid personal/vacation time built on mutual trust and accountability
* 10 sick days annually
* 10 company paid holidays
* 6 weeks paid parental leave
* Pet Insurance
* Medical Travel Benefits
* Infertility Benefits
* Teladoc
* Employee Assistance Program
* Wellness Benefits & Engagement Platform

Inclusion and Diversity: Togetherwork is an Equal Employment Opportunity Employer. We are a company where diverse backgrounds, experiences, and viewpoints are valued. Togetherwork does not make hiring or employment decisions on the basis of race, color, religion, gender, gender identity, sex, sexual orientation, disability, veteran status, age, ethnic or national origin, or any other basis protected by all local, state or federal laws.

Interview Process & Expectations
Our interviews are designed to be interactive and conversational. Candidates are expected to respond based on their own experience and thinking during live interviews.

To ensure a fair and consistent interview experience, the use of real-time AI tools or other external assistance to generate or guide interview responses is not permitted. Interviews are intended to reflect an individual's judgment, problem-solving approach, and communication.

Candidates must be authorized to work in the United States for the duration of employment without requiring current or future employer sponsorship of any kind, including but not limited to OPT, STEM OPT, H-1B, or any other visa classification.

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