Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Data Architect
Greater Milwaukee area
Open 6 months, first seen by us 196 days ago- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingLead technical discovery and architecture design for complex data and analytics initiatives
Architect modern Azure data platforms, including lakehouse and streaming designs
Define reusable reference architectures, design patterns, and implementation standards
Advise client stakeholders on architectural decisions, tradeoffs, and roadmaps
Oversee and review solution implementations for integrity, performance, and security
From the employer’s posting
Lead end-to-end technical discovery and architecture design for complex data and analytics initiatives
Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures
Define and document reference architectures, design patterns, and implementation standards that are reusable across clients and engagements
Serve as a trusted technical advisor to client stakeholders, guiding architectural decisions, tradeoffs, and roadmaps
Oversee and review solution implementations to ensure architectural integrity, performance, scalability, and security best practices
What you’ll bring
All qualificationsCore experience
- Deep expertise in modern data architectures, including lakehouse, ELT/ETL orchestration, data modeling, and analytics platforms on Microsoft Azure
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
- Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data
- Experience designing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or multi-cloud data ecosystems
- Demonstrated experience leading technical discovery, requirements gathering, and architecture design in client-facing environments
- Strong understanding of data governance, security, and compliance considerations (e.g., RBAC, data classification, lineage)
Qualification wording
Deep expertise in modern data architectures, including lakehouse, ELT/ETL orchestration, data modeling, and analytics platforms on Microsoft Azure
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data
Experience designing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or multi-cloud data ecosystems
Demonstrated experience leading technical discovery, requirements gathering, and architecture design in client-facing environments
Strong understanding of data governance, security, and compliance considerations (e.g., RBAC, data classification, lineage)
Education & alternatives
What Will Set You Apart - Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field - Experience designing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or multi-cloud data ecosystems
About Concurrency
We're not just tech consultants; we are forward thinkers with a purpose.
In the employer’s words · Read in context
Posting record
Report an errorOpen 6 monthsWe first saw this posting 196 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 22, 2026196 days ago
- Recorded sightings
- 106
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Apr 20, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 196
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,814 similar postings that came down. Coming down is not always a hire.
Concurrency is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Azure
- Databricks
- PySpark
Where the posting names them
- Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data - Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services - Demonstrated experience leading technical discovery, requirements gathering, and architecture design in client-facing environments
Who We’re Looking For We’re looking for a full stack Data Architect to help take our Cloud, Data & AI Solutions team to the next level. Your focus will be on designing data-intensive applications in Azure that align with customer business goals and helping set internal technical direction for our Cloud, Data & AI Solutions group. The ideal candidate excels at creating modern data solutions to stubborn business problems and enjoys working across the entire data stack from requirements gathering to system design, implementation, and documentation. You thrive in early-stage environments that provide freedom to move fast and ship new features at high velocity without compromising quality standards. You’ll work with a high-performance engineering team and report directly to the Practice Manager, significantly influencing our technical direction and that of our customers. At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions:
- Lead end-to-end technical discovery and architecture design for complex data and analytics initiatives, translating ambiguous business goals into scalable, secure data solutions - Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling - Define and document reference architectures, design patterns, and implementation standards that are reusable across clients and engagements
- Over 7 years of experience designing and delivering data solutions, with experience operating in an architecture or senior technical leadership role - Deep expertise in modern data architectures, including lakehouse, ELT/ETL orchestration, data modeling, and analytics platforms on Microsoft Azure - Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field - Experience designing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or multi-cloud data ecosystems - Exposure to AI-enabled data patterns such as vector search, RAG architectures, or analytics supporting generative AI use cases
- Exposure to AI-enabled data patterns such as vector search, RAG architectures, or analytics supporting generative AI use cases - Relevant certifications such as Azure Data Engineer Associate (DP‑203), Fabric Engineer Associate, or architecture-focused credentials Employment type
Your next step
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Who We Are
At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Solutions Partner, a ServiceNow Elite Partner, and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst.
Who We’re Looking For
We’re looking for a full stack Data Architect to help take our Cloud, Data & AI Solutions team to the next level. Your focus will be on designing data-intensive applications in Azure that align with customer business goals and helping set internal technical direction for our Cloud, Data & AI Solutions group. The ideal candidate excels at creating modern data solutions to stubborn business problems and enjoys working across the entire data stack from requirements gathering to system design, implementation, and documentation. You thrive in early-stage environments that provide freedom to move fast and ship new features at high velocity without compromising quality standards. You’ll work with a high-performance engineering team and report directly to the Practice Manager, significantly influencing our technical direction and that of our customers.
At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions:
Be Yourself: Be the best version of your whole self. Your authenticity matters.
Be Bold: Bravely and respectfully take risks and challenge the norm.
Have a Growth Mindset: Be open to learning and apply your expertise.
Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward.
Assume Positive Intent: Lead with giving the benefit of the doubt.
What You'll Do
-
Lead end-to-end technical discovery and architecture design for complex data and analytics initiatives, translating ambiguous business goals into scalable, secure data solutions
-
Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling
-
Define and document reference architectures, design patterns, and implementation standards that are reusable across clients and engagements
-
Serve as a trusted technical advisor to client stakeholders, guiding architectural decisions, tradeoffs, and roadmaps aligned to business outcomes
-
Balance ideal-state architecture with real-world constraints including cost, timeline, data maturity, and team skill sets
-
Oversee and review solution implementations to ensure architectural integrity, performance, scalability, and security best practices
-
Partner with delivery teams to resolve complex technical challenges and act as an escalation point for architecture-related decisions and positive client sentiment
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Integrate AI-augmented delivery practices into solution design and implementation, while exercising strong engineering judgment and governance
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Mentor engineers and senior engineers through architecture reviews, design sessions, and ongoing coaching
-
Contribute to pre-sales activities including technical discovery workshops, solution shaping, and proposal support
What You'll Need
-
Over 7 years of experience designing and delivering data solutions, with experience operating in an architecture or senior technical leadership role
-
Deep expertise in modern data architectures, including lakehouse, ELT/ETL orchestration, data modeling, and analytics platforms on Microsoft Azure
-
Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data
-
Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services
-
Demonstrated experience leading technical discovery, requirements gathering, and architecture design in client-facing environments
-
Strong understanding of data governance, security, and compliance considerations (e.g., RBAC, data classification, lineage)
-
Experience leveraging AI‑augmented delivery techniques to improve solution quality and productivity, with the ability to establish usage standards and lead by example through hands‑on application.
-
Ability to communicate complex architectural concepts clearly to both technical and non-technical audiences
-
Comfort operating with a high degree of autonomy while collaborating across cross-functional teams
What Will Set You Apart
-
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
-
Experience designing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or multi-cloud data ecosystems
-
Exposure to AI-enabled data patterns such as vector search, RAG architectures, or analytics supporting generative AI use cases
-
Relevant certifications such as Azure Data Engineer Associate (DP‑203), Fabric Engineer Associate, or architecture-focused credentials
Employment type
Full-time
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Greater Milwaukee area
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.