Technical Lead & Data Architect

Job Description:

About DXC Technology  

DXC Technology (NYSE: DXC) is a leading global provider of information technology services. We’re a trusted operating partner to many of the world’s most innovative organizations, building solutions that move industries and companies forward. Our engineering, consulting and technology experts help clients simplify, optimize and modernize their systems and processes, manage their most critical workloads, integrate AI-powered intelligence into their operations, and put security and trust at the forefront. Learn more on dxc.com.

Technical Lead & Data Architect

The ideal candidate combines deep expertise in cloud-based data architecture with hands-on technical leadership experience in delivering modern ETL pipelines and data engineering solutions within AWS environments.

Key Responsibilities

Technical Leadership

• Lead and mentor a team of data engineers and ETL developers in the delivery of cloud-native data solutions. 
• Provide technical direction, architectural guidance, and best practices for ETL development and data integration initiatives. 
• Conduct design reviews, code reviews, and solution assessments to ensure scalability, maintainability, security, and performance. 
• Collaborate with project managers, business stakeholders, architects, and application teams to define delivery roadmaps and technical strategies. 
• Drive Agile/Scrum delivery processes and ensure successful execution of sprint commitments. 

Data Architecture & Solution Design

• Design scalable, secure, and high-performance data architectures on AWS. 
• Architect enterprise ETL/ELT pipelines for batch and real-time data processing. 
• Define data ingestion, transformation, storage, and consumption patterns across structured and unstructured data sources. 
• Establish enterprise data modeling standards, metadata management practices, and data governance frameworks. 
• Develop reusable frameworks, accelerators, and reference architectures for cloud data engineering initiatives. 

 AWS Data Engineering & ETL Development

• Design and implement ETL workflows using AWS-native services such as: 
  • AWS Glue 
• AWS Lambda 
• Amazon S3 
• Amazon Redshift 
• Amazon EMR 
• AWS Step Functions 
• Amazon Athena 
• Amazon RDS 
• AWS Lake Formation 
• Build and optimize large-scale data pipelines and orchestration frameworks. 
• Ensure data quality, lineage, monitoring, observability, and operational supportability of ETL solutions. 
• Optimize cloud performance and cost efficiency across AWS data services. 

Stakeholder & Cross-Functional Collaboration

• Partner with business and analytics teams to translate requirements into technical solutions. 
• Work closely with cybersecurity, infrastructure, and enterprise architecture teams to align with organizational standards. 
• Provide status updates, technical documentation, and executive-level communication regarding solution delivery and risks. 
• Support production deployments, incident resolution, and continuous improvement initiatives. 

 Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. 
• 8+ years of experience in data engineering, ETL development, or data architecture. 
• 3+ years of experience leading technical teams or serving in a technical lead capacity. 
• Strong hands-on experience with AWS cloud services and data platforms. 
• Deep expertise in ETL/ELT architecture and implementation. 
• Strong proficiency in SQL and Python. 
• Experience with cloud-based data lakes, data warehouses, and distributed processing frameworks. 
• Experience with DevOps, CI/CD pipelines, and Infrastructure as Code. 
• Strong understanding of data governance, security, and compliance best practices. 
• Excellent analytical, communication, and leadership skills. 

Preferred Qualifications

• AWS Certified Solutions Architect, AWS Data Analytics Specialty, or related AWS certifications. 
• Familiarity with Apache Spark and distributed computing frameworks. 
• Experience supporting analytics, reporting, and AI/ML workloads. 
• Experience working in regulated industries such as utilities, energy, healthcare, or financial services. 

Technical Skills

Cloud & AWS

• AWS Glue 
• AWS Lambda 
• Amazon S3 
• Amazon Redshift 
• Amazon Athena 
• Amazon EMR 
• AWS IAM 
• AWS Step Functions 
• AWS Lake Formation 

 Programming & Tools

• Python 
• SQL 
• PySpark 
• Shell scripting 
• Terraform / CloudFormation 
• Git 
• Jenkins / GitHub Actions 

 Data Technologies

• ETL/ELT 
• Data Warehousing 
• Data Lakes 
• Data Modeling 
• Metadata Management 
• Data Governance 

 Leadership Competencies 

• Technical leadership and mentoring  
• Strategic thinking and architecture planning  
• Problem-solving and decision-making  
• Team collaboration and communication  
• Delivery and execution focus  

Location Newark NJ or South Plainfield, NJ (Onsite 100%)

Full-time hires are eligible to participate in the DXC benefit program.  DXC offers a comprehensive, flexible, and competitive benefits program which includes, but is not limited to, health, dental, and vision insurance coverage; employee wellness; life and disability insurance; a retirement savings plan, paid holidays, paid time off.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

If you are an applicant from the United States, Guam, or Puerto Rico

DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below.

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