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Azure Data Platform Engineer Jobs in Delaware (NOW HIRING)

Troutman Pepper

Senior Data Engineer

Wilmington, DE · Remote

$102K - $139K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating ...

Stefanini

DevOps Engineer

Dover, DE · On-site

$42 - $57.25/hr

You will work closely with Platform Engineering, Security, and Infrastructure teams to deliver ... State\Federal Exp.Azure and/or AWS exposureZscaler Listed salary ranges may vary based on ...

Judge Group, Inc.

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Design, build, and maintain scalable data pipelines and data platforms * Perform data analysis ... Collaborate cross-functionally with engineering, analytics, and business teams * Ensure data ...

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Azure Data Platform Engineer information

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer, and why are they important?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.
What are popular job titles related to Azure Data Platform Engineer jobs in Delaware? For Azure Data Platform Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Azure Data Platform Engineer jobs in Delaware look for? The top searched job categories for Azure Data Platform Engineer jobs in Delaware are:
What cities in Delaware are hiring for Azure Data Platform Engineer jobs? Cities in Delaware with the most Azure Data Platform Engineer job openings:
Azure Data Platform Engineer jobs near you
Infographic showing various Azure Data Platform Engineer job openings in Delaware as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.
Lead .Net Platform Engineer (Payments Ingestion) - Senior Vice President

Lead .Net Platform Engineer (Payments Ingestion) - Senior Vice President

Citigroup, Inc.

New Castle, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

About the Role
We are seeking an experienced, hands-on Senior .Net Lead to contribute to the development of our engineering frameworks, with a strong focus on microservice architecture. This senior engineering leadership role merges hands-on technical contribution with organizational accountability. The ideal candidate will remain deeply involved in the code and architecture while simultaneously owning the platform strategy, defining engineering standards, and guiding a scrum team in developing core functionalities within the payments lifecycle.
Key Responsibilities
1. Hands-On Technical Contribution & System Design
  • Actively code in .Net developing reusable frameworks while performing system design, architecture reviews, and code reviews for the core cheque payment platform.
  • Contribute to the design of distributed, fault-tolerant, real-time systems for high-volume, low-latency transaction processing.
  • Write, review, and refactor production-grade code in .Net setting a high technical standard for the team.
  • Independently design event-driven, microservices-based architectures utilizing REST APIs, .Net. React knowledge is a plus.
  • Apply hands-on experience with Kafka, including message schema design, topic partitioning, consumer group strategies, and fault-tolerant processing.
  • Design and govern data architecture across Oracle (SQL) and MongoDB (NoSQL), covering schema design, indexing strategies, query optimization, and data consistency patterns.
  • Champion continuous development, feature flags, and progressive delivery, contributing to the design and optimization of CI/CD pipelines.
  • Produce and review Architecture Decision Records (ADRs) and technical design documents for key platform components.

2. Engineering Excellence & Quality
  • Maintain and enforce engineering standards within the scrum team, including Test-Driven Development (TDD), reusable framework development, CI/CD, secure coding, and observability.
  • Conduct code reviews for critical platform components, providing detailed technical feedback to enhance team quality and capacity, ensuring the development of scalable and reusable services.
  • Drive the adoption of AI-powered quality practices, including leveraging tools like GitHub Copilot for coding, utilizing LLMs (Gemini experience preferred) to improve payment processing quality, and implementing automated test script generation and vulnerability remediation.
  • Lead performance engineering initiatives, including profiling JVM-based applications identifying performance hotspots, and optimizing critical settlement processing paths.
  • Own the security and compliance posture of the cheque payment platform by participating in threat modeling, vulnerability assessments, and secure design reviews.
  • Ensure all engineering delivery aligns with Citi Engineering Excellence Standards, including CI/CD, DevOps, cloud-native practices, and modern ways of working.

3. Platform Strategy & Domain Ownership
  • Define and own the engineering roadmap for modernizing the cheque payment platform, migrating global components from monolithic mainframe and legacy applications to a reusable microservices architecture.
  • Develop strong domain knowledge in the payment lifecycle, settlement, and cheque image processing to inform sound engineering decisions.
  • Own the platform's SLA commitments, driving architectural decisions to meet availability, throughput, and latency targets.
  • Develop cross-platform integration by governing API contracts, data flows, and system dependencies across the Payments, Settlements, DDA, and Data Lake ecosystems.
  • Drive capacity planning and investment prioritization, making informed decisions on platform scaling, technology refresh, and resource allocation.
  • Partner with Operations, Risk, Compliance, and Business teams to ensure the platform meets all regulatory requirements and business needs.

4. Leadership & Stakeholder Engagement
  • Act as the primary engineering point of contact for the core Cheque Processing pillar, engaging with senior business, technology, and operations stakeholders.
  • Clearly communicate platform health, delivery progress, engineering strategy, and risks to senior leadership.
  • Partner with Product, Operations, Risk, Finance, and Compliance teams to align engineering priorities with business and regulatory needs.
  • Demonstrate the ability to pivot direction to meet timelines and delivery commitments with tactical solutions, while maintaining a clear vision for strategic platform development.

Skills and Qualifications
1. Core Programming & System Architecture
  • .Net: 10+ Extensive hands-on experience in high-throughput, production-grade .Net engineering, including JVM performance tuning.
  • API Development: Hands-on experience building RESTful APIs with frameworks such as Spring MVC or Spring Boot.
  • Microservices Architecture: Proven experience designing microservices ecosystems, including service decomposition, API design, inter-service communication, and cloud engineering.
  • Event-Driven & Messaging Systems: Deep, hands-on expertise in Kafka, including topic design, partitioning, consumer groups, exactly-once semantics, and high-throughput stream processing.
  • High-Performance Computing: Hands-on experience with profiling and optimization, including JVM tuning, garbage collection (GC) optimization, thread management, and memory profiling.
  • High Availability & Fault Tolerance: Practical experience designing resilience patterns such as circuit breakers, bulkheads, failover, and disaster recovery.
  • Databases: Hands-on expertise in Oracle (SQL) and Microsoft SQL for schema design, query optimization, and indexing, as well as MongoDB (NoSQL) for document modeling, aggregation pipelines, sharding, and replica sets.

2. Cloud & DevOps
  • Cloud-Native Engineering: Hands-on experience with OpenShift/AWS, Kubernetes, and Docker for container orchestration, autoscaling, and cloud-native deployment.
  • CI/CD & DevOps: Experience designing and owning CI/CD pipelines aligned with enterprise-level Engineering Excellence Standards. Experience with tools like Jenkins and Gradle/Maven.
  • Observability: Hands-on experience with distributed tracing, intelligent alerting, and AI-driven observability using tools like Grafana.
  • Secure Engineering: Practical experience with threat modeling, vulnerability assessments, and secure design reviews.
  • Agile at Scale: Experience with Agile/SAFe delivery at the program level, including PI planning, cross-team dependency management, and delivery governance.

Good-to-Have Skills
  • ML Integration: Hands-on experience with real-time ML model serving, including feature stores, online inference, and model monitoring.
  • AI Frameworks: Familiarity with Retrieval-Augmented Generation (RAG) patterns, vector databases (e.g., Pinecone, Weaviate), or agentic AI frameworks (e.g., LangChain, AutoGen).
  • MLOps: Knowledge of MLOps practices such as model versioning, deployment pipelines, and production model monitoring.
  • Resilience Testing: Experience with chaos engineering and resilience testing, including fault injection and production readiness reviews.
  • Financial Systems: Knowledge of reconciliation and exception handling patterns in settlement workflows.
  • LLM Experience: Familiarity with prompt engineering and LLM fine-tuning in a regulated enterprise context.
  • Python: Hands-on expertise in Python for data pipelines, AI/ML integration, scripting, and automation.
  • Legacy Modernization: Experience with large-scale transformation projects, including migrating mainframe components (COBOL, Assembler) and legacy systems (C++, .NET) to a microservices architecture.
  • Strategy: Experience with technology investment governance and engineering budget management.

What We Are Looking For
  • A hands-on leader who actively contributes to code, frameworks, reviews, and technical problem-solving.
  • A strategic thinker who is equally comfortable at the code/architecture level and the platform strategy/stakeholder management level.
  • A pragmatic innovator who identifies practical, high-value opportunities to apply AI/ML without losing focus on engineering fundamentals.
  • An accountable owner with a strong sense of ownership for platform quality, reliability, and delivery.
  • A mentor committed to developing engineers and managers, building technical capability and leadership depth across the team.
  • An effective communicator able to translate technical complexity into clear, concise updates for business and senior leadership.

Why Join Us
  • Lead engineering for a central global payment platform while remaining deeply technical.
  • Drive AI and engineering transformation on a high-visibility modernization initiative with significant business impact.
  • Work at the intersection of high-throughput financial systems and modern AI capabilities.
  • Build and mentor a strong engineering team with access to state-of-the-art tools, platforms, and talent.
  • Be part of an engineering culture that values technical depth at every level of seniority.

Education:
  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
New Castle Delaware United States
Primary Location Full Time Salary Range:
$156,160.00 - $234,240.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 22, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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