Top 71 Lead data architect Jobs in Charlotte, Nc

Technical Lead (Data Engineering)
Brooksource —Charlotte, NC
- $80 an hour
- Contract
- Hybrid work
- Background check
- 8 years
- SQL
- Health savings account
- Paid holidays
Quick Apply
ServiceNow Platform Technology Lead
Pacific Life —Charlotte, NC
- $125,100 - $152,900 a year
- Full-time
- 6 years
- System design
- Mentoring
- Paid parental leave
- Paid holidays
Lead, Data Architect
Scout Motors —Charlotte, NC
- $160,000 - $192,500 a year
- Full-time
- 18 years or older
- Computer Science
- HIPAA
- Paid jury duty
- Paid parental leave
Quick Apply
Lead Solutions & AI Enablement Architect
Humana —Charlotte, NC
- $142,300 - $195,700 a year
- Full-time
- Remote
- Computer science
- Computer Science
- HIPAA
- Paid parental leave
- Paid holidays
4d
Lead Data Engineer / Data Architect
Glint Tech Solutions LLC —Charlotte, NC
- Full-time
- Windows
- 8 years
- SQL
Quick Apply
13d
AVP, Data Services – Lead Data Engineer
LPL Financial —Fort Mill, SC
- $119,068 - $198,378 a year
- Full-time
- Computer Science
- SQL
- Quality control
- Health insurance
- Paid time off
Quick Apply
12d
Domain Tech Lead — Infrastructure Patching Automation (Mainframe & AS/400)
Deloitte —Charlotte, NC
- $134,000 - $265,000 a year
- Full-time
- 7 years
- Azure
- Up to 50% travel
7d
Lead, Network Architect - DC Core
Humana —Charlotte, NC
- $129,300 - $177,800 a year
- Weekends as needed
- Remote
- PMP
- Master's degree
- Travel
- Paid parental leave
- Paid holidays
Oracle CPQ Solution and Delivery Lead - Manager
Accenture —Charlotte, NC
- $87,400 - $266,300 a year
- Full-time
- Oracle
- 5 years
- US work authorization
- Paid holidays
- Disability insurance
4d
Lead Engineer (AWS)
Aprio —Charlotte, NC
- $98,900 - $132,800 a year
- Full-time
- Remote
- 7 years
- AWS
- Bachelor's degree
- Profit sharing
- Wellness program
5d
Lead Engineer (Azure)
Aprio —Charlotte, NC
- $98,900 - $132,800 a year
- Full-time
- Remote
- 7 years
- Azure
- Bachelor's degree
- Profit sharing
- Wellness program
4d
AI Solutions Engineering Delivery Lead
PRICE WATERHOUSE COOPERS —Charlotte, NC
- $122,500 - $504,500 a year
- Remote
- Azure
- Computer Science
- SQL
- Paid holidays
- Health insurance
AVEVA PI Development Delivery Lead
Cognizant —Charlotte, NC
- $113,000 - $130,000 a year
- Full-time
- Remote
- 5 years
- System design
- AWS
- Paid parental leave
- Employee stock purchase plan
8d
Lead Machine Learning / Data Science Engineer
CapTech Consulting —Charlotte, NC
- Full-time
- 7 years
- Azure
- Management
- Loan repayment program
- Disability insurance
Quick Apply
Lead Technical Product Owner
Humana —Charlotte, NC
- $126,300 - $173,700 a year
- Full-time
- Remote
- Azure
- Computer Science
- 5 years
- Paid parental leave
- Paid holidays
4d
Sr Application Architect (OFSAA Technical Lead)
Huntington Bank —Charlotte, NC
- $102,000 - $208,000 a year
- Full-time
- Remote
- Computer science
- 7 years
- Computer Science
- Wellness program
- Paid holidays
Lead IT Analyst - Procurement - S4 Transformation
Honeywell —Charlotte, NC
- Full-time
- Hybrid work
- 6 years
- Computer Science
- Office
- Health savings account
- Paid holidays
SAP Master Data Governance (MDG) Lead
Accenture —Charlotte, NC
- $87,400 - $266,300 a year
- Full-time
- 6 years
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
Lead Analytics Architect
Kintegra Health —Gastonia, NC
- Full-time
- Computer Science
- 5 years
- HIPAA
Quick Apply
Google AI Lead Architect
Deloitte —Charlotte, NC
- $141,200 - $278,300 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel

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lead data architect jobs near charlotte, nc

Technical Lead (Data Engineering)

Brooksource -
Charlotte, NC

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Job Details

Contract
$80 an hour

Benefits

Health savings account
Paid holidays
Health insurance
Dental insurance
Flexible spending account
Paid time off
Employee assistance program
Vision insurance
401(k) matching

Qualifications

Data engineering
Data model design
Data modeling projects
Team leadership
Technical documentation
Spark
Schema design
SQL
Event-driven architecture
Data Architecture Design (Architecture design skills)
AWS
Spark implementation
Cloud database architecture
AWS Glue
Distributed systems
Leading team collaboration initiatives
Amazon Aurora
Kafka
Redshift
Real-time data processing implementation
Project stakeholder communication
Python
Cross-functional communication
Senior leadership
Stakeholder management
Database software proficiency
Design patterns
AWS Lambda

Full Job Description

Technical Lead – Data Engineering
Hybrid – Charlotte, NC (3 days/wk Onsite)
12mo+ Contract (Ongoing - Likely to Extend)

Role Overview:
We are seeking a Technical Lead – Data Engineering to provide hands-on technical leadership across our data engineering platform. This role combines deep technical expertise with collaborative leadership, architectural stewardship, and delivery accountability. In this role, you will partner closely with existing technical leadership within the Data & Analytics organization, including other technical leads, architects, and senior engineers, to design and evolve scalable data solutions.

You will help drive consistency, share best practices, and collectively shape the technical direction of the platform. The role remains highly hands-on, with significant contribution in AWS Glue (PySpark), Python, Kafka, AWS DMS, AWS Lambda, AWS Redshift, and Aurora PostgreSQL, while acting as a key technical voice within the broader data engineering leadership group.

Key Responsibilities:
Technical Leadership & Collaboration

Act as a hands-on technical leader for the Data Engineering area, collaborating with existing technical leads and architects to define and align on platform standards and architectural direction.
Partner with peer technical leaders to ensure consistency across data ingestion, transformation, streaming, and consumption patterns.
Contribute to shared technical roadmaps, design reviews, and architecture forums.
Provide technical guidance and escalation support while respecting shared ownership and collective decision-making.

Architecture & Engineering Standards

Help design, evolve, & maintain scalable, fault-tolerant architectures for batch & streaming data pipelines.
Establish and reinforce engineering standards for:
Pipeline design and reliability
Code quality and testing
Performance and cost optimization
Security and operational best practices
Drive alignment on ingestion strategies, CDC patterns, streaming vs. batch tradeoffs, and data modeling approaches.

Hands-On Data Engineering

Lead development of complex ETL/ELT pipelines using AWS Glue (PySpark) and Python.
Build, optimize, and support Kafka-based streaming pipelines, including topic design, partitioning strategies, and consumer patterns.
Implement and tune AWS DMS pipelines for full-load and CDC ingestion.
Develop AWS Lambda functions for orchestration, automation, monitoring, and event-driven workflows.
Design and optimize schemas, queries, and performance for Amazon Aurora PostgreSQL.

Platform Reliability, Performance & Cost

Share ownership of platform reliability, scalability, and performance with other technical leaders.
Identify and resolve bottlenecks in Spark jobs, streaming consumers, and database workloads.
Ensure robust error handling, retries, idempotency, and recovery strategies.
Partner with cloud/platform teams on cost optimization, capacity planning, and infrastructure improvements.

Data Quality & Trust

Partner closely with Data Quality Engineers and peer technical leaders to ensure quality validations are embedded throughout pipelines.
Ensure pipelines support reconciliation, auditability, and observability.
Enforce data freshness, completeness, and accuracy SLAs for downstream consumers, including Qlik.

Mentorship & Team Enablement

Mentor data engineers through code reviews, design sessions, and technical coaching.
Collaborate with other technical leaders to raise the overall engineering maturity of the team.
Contribute to hiring, onboarding, and skills development efforts.
Promote knowledge sharing through documentation, demos, and internal forums.

Stakeholder & Cross-Team Engagement

Work closely with analytics, BI, & business partners to translate requirements into scalable data solutions.
Partner with BI teams to ensure curated datasets are analytics-ready for Qlik.
Communicate technical decisions, risks, and tradeoffs clearly and collaboratively.

Required Qualifications:

8+ years of experience in data engineering or backend data platform development.
3+ years in a senior or technical leadership role with shared architectural ownership.
Expert-level experience with AWS Glue (PySpark), Python, and distributed data processing.
Experience with Kafka and streaming architectures.
Hands-on experience implementing and supporting AWS DMS Batch and CDC pipelines.
Advanced SQL skills and experience with Amazon Aurora PostgreSQL.
Experience with AWS Lambda and serverless/event-driven architectures.
Strong understanding of data modeling and batch vs. streaming design patterns.
Demonstrated ability to collaborate effectively with peer technical leaders.
Excellent communication and documentation skills.

Preferred Qualifications:

Familiarity with orchestration tools (Step Functions, Airflow).
Knowledge of data governance, lineage, and cataloging practices.
Experience optimizing Spark workloads for performance and cost.
Experience in enterprise or regulated environments.

What Success Looks Like:

Strong partnership and alignment with existing technical leadership.
Data engineering standards are well-defined, shared, and consistently applied.
Pipelines are scalable, reliable, and meet performance and quality SLAs.
Engineers are well-supported, mentored, and productive.
Ramp up on product development and implementation within a 30-45 day timeframe.

Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.

EEO: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.

Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Pay: $80.00 per hour

Benefits:

Dental insurance
Health insurance
Health savings account
Vision insurance

Work Location: Hybrid remote in Charlotte, NC 28206

Quick Apply

Refine Your Search

lead data architect jobs in charlotte, nc

Technical Lead (Data Engineering)

ServiceNow Platform Technology Lead

Lead, Data Architect

Lead Solutions & AI Enablement Architect

Lead Data Engineer / Data Architect

AVP, Data Services – Lead Data Engineer

Domain Tech Lead — Infrastructure Patching Automation (Mainframe & AS/400)

Lead, Network Architect - DC Core

Oracle CPQ Solution and Delivery Lead - Manager

Lead Engineer (AWS)

Lead Engineer (Azure)

AI Solutions Engineering Delivery Lead

AVEVA PI Development Delivery Lead

Lead Machine Learning / Data Science Engineer

Lead Technical Product Owner

Sr Application Architect (OFSAA Technical Lead)

Lead IT Analyst - Procurement - S4 Transformation

SAP Master Data Governance (MDG) Lead

Lead Analytics Architect

Google AI Lead Architect

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