Is the Data Architect role on-site?

Yes — this role is on-site at the client's Charlotte, NC location, five days per week. The client's culture and delivery cadence are calibrated around in-person collaboration for this position. Relocation support may be available for the right candidate; the recruiter will confirm during your calibration call.

Is this a permanent role?

Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.

What is the compensation range for this role?

The advertised range for this Data Architect role is $155,000–$175,000 per year. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.

How quickly does the interview process move?

If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

Onsitefull timeReq 26-02629Posted Today

Data Architect

Direct Placement role in Charlotte, NC. Onsite engagement, matched and submitted by an ApTask vertical recruiter.

Location: Charlotte, NC · Onsite
Compensation: $155k–$175k/yr

Talk to a recruiter

Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.

About the role

At a glance

AI summary

Day-to-day: Design and maintain enterprise data architectures, develop blueprints aligning business and technical requirements, evaluate data platforms and technologies, collaborate with cross-functional teams on standards
You'll bring: Bachelor's degree in computer science or related field, 13 years IT experience including 5 years as Data or Technology Architect, AWS Data Services expertise, data modeling and lakehouse architecture experience
Good fit if: Master's degree, Databricks experience, semantic and dimensional modeling knowledge, modern cloud-based data platform design experience, enterprise data governance and architecture framework familiarity

Generated from the recruiter description below. The full posting is the source of truth — always read it before applying.

Title : Data Architect

Job Summary
We are seeking an experienced Data Architect to design and implement scalable enterprise data architectures that support operational, analytical, and AI-driven workloads. The ideal candidate will define physical and logical data models, develop architecture blueprints, evaluate data platforms, and guide enterprise data strategy while collaborating with cross-functional technology and business teams.

Key Responsibilities

Design and maintain enterprise physical and logical data architecture.
Develop data architecture blueprints that align business and technical requirements.
Design scalable data platforms supporting operational, analytical, and reporting workloads.
Evaluate and recommend data platforms, technologies, and integration solutions.
Collaborate with engineering, analytics, and business teams to define enterprise data architecture standards.
Provide technical leadership and guidance on data architecture best practices.
Participate in architecture reviews, governance, and strategic technology initiatives.

Requirements
Required Skills & Qualifications

Bachelor s degree in computer science, Information Systems, Engineering, or a related field.
13 years of IT experience, including 5 years as a Data or Technology Architect.
Strong experience in Enterprise Data Architecture.
Hands-on experience with AWS Data Services.
Expertise in Data Modelling (conceptual, logical, and physical).
Experience designing Data Lakehouse architectures.
Strong understanding of data integration, data governance, and modern data platforms.
Excellent analytical, communication, and stakeholder management skills.

Preferred Skills

Master's degree in a related field.
Experience with Databricks.
Knowledge of Semantic Modelling and Dimensional Modelling.
Experience designing modern cloud-based data platforms and analytics solutions.
Familiarity with enterprise data governance and architecture frameworks.

About technology at ApTask

What this vertical looks like inside ApTask.

Technology roles at ApTask cover the software, cloud, data, security, and platform-engineering functions that power Fortune 500 digital operations. Our recruiters specialise in high-signal technical calibration — every candidate is validated against the specific stack, framework versions, and deployment context the client runs, not a keyword match. Our largest engagements sit inside AWS, Azure, GCP, Snowflake, Databricks, and modern data-mesh estates. Because we route through Fieldglass, Beeline, Workday VNDLY, and Coupa VMS, technology contractors placed through ApTask carry MBE diversity spend against the client's supplier program while remaining W-2 with full benefits under our payroll.

How it works

What happens after you apply.

1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you onboard W-2 with ApTask (contract) or direct-hire with the client (per role type). Benefits, payroll, and timesheets run through us. Your recruiter stays your point of contact for the length of the engagement.

Frequently asked

Questions candidates ask about this role.

Is the Data Architect role on-site?: Yes — this role is on-site at the client's Charlotte, NC location, five days per week. The client's culture and delivery cadence are calibrated around in-person collaboration for this position. Relocation support may be available for the right candidate; the recruiter will confirm during your calibration call.
Is this a permanent role?: Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.
What is the compensation range for this role?: The advertised range for this Data Architect role is $155,000–$175,000 per year. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.
How quickly does the interview process move?: If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

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