> Markdown version of [/jobs/ext/557973-technical-lead-data-architect](https://www.wearedevelopers.com/jobs/ext/557973-technical-lead-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Lead & Data Architect - **Company:** DXC Technology - **Location:** South Plainfield, NJ, United States - **Experience:** Expert - **Salary:** $126,600.0 - $235,100.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Application Frameworks, Cloud Database, Code Review, Cyber Security, Information Systems, Computer Programming, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Distributed Computing Environment, Github, Identity and Access Management, Python (Programming Language), Meta-Data Management, Scrum Methodology, Cloud Services, Standard Sql, Shell Script, SQL Databases, Data Ingestion, Apache Spark, AWS Lambda, Git, Cloudformation, Amazon Relational Database Service, Data Lakes, Pyspark, Information Technology, AWS Glue, AWS Data Analytics, Data Management, Terraform, Stream Processing, Data Pipelines, Amazon Elastic Mapreduce (EMR), Jenkins, Amazon Redshift - **Published:** June 13, 2026 - **Apply:** https://dejobs.org/x/x/15934B95C72A429790C540397143D1FC/job/ ## About the Role * 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., * 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, If you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us via email (gss-hr-er@dxc.com) . ## Description 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. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Why developer experience matters](https://www.wearedevelopers.com/magazine/514-why-developer-experience-matters) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)