director, site reliability engineering - digital assets

lead software engineer - payments data platform

lead software engineer| risk data platform & strategy

application development technology sr. lead analyst, senior vice president

genai solutions architect lead engineer vice president

2026 global financial crimes and compliance internship (commercial & investment bank) – emerging talent summer experience program

data engineer, vice president Jobs in Jersey City

data engineer, vice president

director, quant data engineering Jobs in Jersey City

director, quant data engineering

director, site reliability engineering - digital assets Jobs in Jersey City

lead software engineer - payments data platform Jobs in Jersey City

lead software engineer| risk data platform & strategy Jobs in Jersey City

sr data engineer

First Soft Solutions LLC

<div>
 
 Data Engineer (Financial Services &ndash; Enterprise Data Platform)
 
 
 
 Location: [Onsite / Hybrid / Remote]
 
 
 Employment Type:
 
 Full-Time (W2 Only)
 
 
 
 
 No Corp-to-Corp (C2C)
 
 
 
 
 About The Role
 
 
 
 We are seeking a
 
 Data Engineer
 
 with strong experience in
 
 Oracle and Hadoop ecosystems
 
 to support large-scale
 
 data platforms within a financial services environment
 
 . This role focuses on building and optimizing
 
 high-performance data pipelines
 
 , enabling
 
 data integration, analytics, and regulatory reporting
 
 across enterprise systems.
 
 
 You will work in a
 
 highly regulated environment
 
 , ensuring data solutions meet
 
 security, governance, and compliance standards
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain data pipelines using Oracle and Hadoop technologies
 </li>
 <li>
 Build and optimize ETL/ELT processes for large-scale structured and unstructured data
 </li>
 <li>
 Work with Hadoop ecosystem tools (Hive, Spark, HDFS, Sqoop, etc.)
 </li>
 <li>
 Develop and optimize SQL/PLSQL queries, stored procedures, and performance tuning
 </li>
 <li>
 Integrate data from multiple sources including transactional systems, data warehouses, and external feeds
 </li>
 <li>
 Ensure data quality, consistency, and governance across platforms
 </li>
 <li>
 Support data migration, transformation, and data modeling activities
 </li>
 <li>
 Collaborate with business and analytics teams to deliver data-driven solutions
 </li>
 <li>
 Ensure compliance with financial regulations, audit requirements, and data security standards
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 5+ years of experience in data engineering / big data development
 </li>
 <li>
 Strong expertise in Oracle (SQL, PL/SQL, performance tuning)
 </li>
 <li>
 Hands-on experience with Hadoop ecosystem (Hive, Spark, HDFS, MapReduce)
 </li>
 <li>
 Experience building ETL/ELT pipelines and data integration workflows
 </li>
 <li>
 Strong knowledge of data modeling and data warehousing concepts
 </li>
 <li>
 Experience working in enterprise environments (financial services preferred)
 </li>
 <li>
 Understanding of data governance, security, and compliance requirements
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP)
 </li>
 <li>
 Experience with data streaming tools (Kafka, Flink)
 </li>
 <li>
 Familiarity with data lake / lakehouse architectures
 </li>
 <li>
 Experience with Informatica, Talend, or similar ETL tools
 </li>
 <li>
 Exposure to regulatory reporting and financial datasets
 
 
 </li>
 </ul>
 
 Interested Candidates
 
 
 
 
 Please Share Your Updated Resume Along With
 
 
 
 <ul>
 <li>
 Full Name
 </li>
 <li>
 Contact Number
 </li>
 <li>
 Email ID
 </li>
 <li>
 Current Location
 </li>
 <li>
 Work Authorization
 </li>
 <li>
 Total Years of Experience
 </li>
 <li>
 Availability to Start
 </li>
 <li>
 Expected Salary
 </li>
 </ul>
</div>

Sr. Data Engineer

AvePoint

<div>AvePoint is seeking a seasoned, strategic Senior Partner Development Manager (Sr. PDM) to expand our partner ecosystem and amplify growth through Managed Service Providers (MSPs). In this role, you'll lead high-level partner strategy, recruit new MSPs, and foster existing relationships to unlock new revenue channels. Your responsibilities will drive partner-sourced revenue, strategic alignment, and success with AvePoint's go-to-market initiatives.

Key Responsibilities
<ul>
<li>Identify, recruit, and strategically align with MSPs to build a robust partner-sourced pipeline and revenue stream.</li>
</ul><ul><li>Develop and implement co-marketing initiatives with MSPs to elevate AvePoint's brand and product adoption across new markets.</li>
</ul><ul><li>Ensure comprehensive enablement and certification of partners, positioning them for success in deploying and supporting AvePoint solutions.</li>
</ul><ul><li>Design and operationalize scalable partner models and go-to-market strategies that maximize partner-driven growth and customer satisfaction.</li>
</ul><ul><li>Lead high-touch partner account management efforts, consistently delivering on partner needs, expectations, and mutual growth goals.</li>
</ul><ul><li>Serve as a top advocate and evangelist within your partner ecosystem, driving mindshare and brand positioning for AvePoint's solutions.</li>
</ul>
What your day to day will look like:
<ul>
<li>Build and manage a strategic pipeline of high-potential MSPs, facilitating recruitment, onboarding, and activation processes.</li>
</ul><ul><li>Collaborate with Marketing to drive targeted co-marketing initiatives that maximize partner and AvePoint exposure, influence, and sales potential.</li>
</ul><ul><li>Conduct regular enablement and training sessions to certify partners on AvePoint's products, aligning them with evolving solution capabilities.</li>
</ul><ul><li>Work closely with cross-functional teams, including Sales, Product, and Customer Success, to craft GTM strategies that fuel partner success and mutual revenue growth.</li>
</ul><ul><li>Conduct quarterly business reviews with key partners to assess performance, optimize growth strategies, and pursue upsell/cross-sell opportunities.</li>
</ul><ul><li>Act as the primary relationship owner for MSPs, delivering a seamless account management experience and proactively addressing their needs.</li>
</ul><ul><li>Track, analyze, and report on partner performance metrics, utilizing insights to refine strategy and drive continuous improvement.</li>
</ul><ul><li>Attend industry events and webinars to stay informed on market trends, networking with key players in the MSP space to bolster AvePoint's partner ecosystem.</li>
</ul><ul><li>Host regular cross-functional alignment sessions to communicate updates on partner activities and ensure cohesive internal support.</li>
</ul><ul><li>Resolve partner challenges swiftly, integrating feedback to enhance the partner experience and AvePoint's market position.</li>
</ul>
What you will bring to our team:

This is a high-impact role in one of AvePoint's fastest-growing divisions, and the ideal candidate will be a key driver of our vertical strategy moving forward. We're looking for individuals who embody agility, passion, and collaboration, and who are excited about bringing their ideas, growth mindset, and expertise to a thriving team.

Other Qualifications:
<ul>
<li>7+ years of experience in partner development, sales, or strategic business development, ideally with a focus on MSPs or SaaS.</li>
</ul><ul><li>Proven track record of exceeding business development, partner recruitment, and revenue generation targets.</li>
</ul><ul><li>Expertise in end-to-end partner enablement and go-to-market execution.</li>
</ul><ul><li>Skilled in cross-functional collaboration to drive joint success in sales and services deals.</li>
</ul><ul><li>Strong ability to create and present quantified business cases with partners, building mutually beneficial and sustainable relationships.</li>
</ul><ul><li>Demonstrated ability to build executive relationships within the partner ecosystem, with a focus on growth and partner advocacy.</li>
</ul>Exceptional communication skills, active listening, and empathy toward partner perspectives and needs. 
<ul><li>
</li>
<li>Effective multitasking and prioritization skills, with the ability to manage competing demands seamlessly.</li>
</ul>
Benefits we offer:
Competitive market-based compensation (salary, yearly bonus + equity) 
<ul><li>
</li>
Career progression and internal mobility opportunities across our global footprint in North America, EMEA, and APAC 
<li>
</li>
<li>Unlimited PTO</li>
</ul>
The Salary Range for this role is $105,000 - $145,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions&mdash;apply even if your expectations fall outside the range.<div>
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.</div></div>

Sr. Partner Development Manager

Test Engineer

Information Technology Senior Management Forum

<div><div>Posted Date
4/15/2026
</div><div>Description
<div>Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.<h4 class="jobSectionHeader">
Position Summary:</h4>
The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).</li><li>
ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.</li><li>
Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.</li><li>
SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).</li><li>
NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.</li><li>
Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.</li><li>
Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).</li><li>
Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.</li><li>
Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.</li><li>
Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.</li></ul><h4 class="jobSectionHeader">
Required Qualifications:</h4><ul><li>
6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.</li><li>
Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.</li><li>
Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).</li><li>
Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).</li><li>
Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).</li><li>
Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).</li><li>
Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.</li><li>
Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications:</h4><ul><li>
Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.</li><li>
Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.</li><li>
Knowledge of data governance practices (metadata, lineage, data quality frameworks).</li><li>
Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).</li></ul><h4 class="jobSectionHeader">
Core Competencies:</h4><ul><li>
Engineering rigor: Writes maintainable, testable code and designs resilient systems.</li><li>
Problem solving: Diagnoses data issues quickly and drives root-cause resolution.</li><li>
Ownership mindset: Takes accountability for production outcomes and operational reliability.</li><li>
Partnership: Collaborates effectively across application, architecture, and business teams.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; 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 15, 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&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
142,320.00 - 213,480.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Data Engineer, Vice President

<div><div>Posted Date
4/13/2026
</div><div>Description
<div>Overview of the Role:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients&rsquo; best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations &amp; Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We&rsquo;ll enable growth and progress together.
The GenAI Solutions Architect/Lead Engineer is a senior level position responsible for establishing and implementing new or revised GenAI application systems and programs in coordination with the Technology team. The overall objective of this role is to be highly hands-on with a capacity to manage the team for applications systems analysis and programming activities.
We are seeking a highly skilled and motivated GenAI Solutions Architect/Lead Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Proven real-world experience implementing GenAI solutions, particularly those involving Large Language Models (LLMs), Retrieval Augmented Generation (RAG) implementations, and chatbot development for both structured and unstructured data, is essential. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.
Responsibilities:<ul><li>
Highly Hands-on GenAI Development: Actively design, develop, and implement complex AI/ML models and algorithms, with a strong focus on Generative AI techniques (e.g., LLMs, GANs, VAEs) for financial applications. This includes hands-on coding, prototyping, and deploying GenAI solutions.</li><li>
RAG Implementation Expertise: Lead the design and implementation of Retrieval Augmented Generation (RAG) systems to enhance the accuracy and contextuality of GenAI outputs, particularly in handling financial data and domain-specific queries.</li><li>
Chatbot Development (Structured &amp; Unstructured Data): Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources (e.g., databases, APIs) and unstructured data (e.g., documents, emails, free text). This includes leveraging GenAI for natural language understanding and generation in complex conversational flows.</li><li>
Document Processing &amp; OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models.</li><li>
Dynamic SQL Generation using LLM: Develop and deploy solutions leveraging Large Language Models to dynamically generate SQL queries from natural language requests, facilitating data access and analysis from structured databases.</li><li>
Python Development &amp; Ecosystem Mastery: Utilize advanced Python programming skills to build, optimize, and deploy GenAI solutions. This includes extensive experience with relevant Python packages (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, numpy, FastAPI).</li><li>
Large Language Model (LLM) Application: Deep practical experience with various LLM architectures, fine-tuning, prompt engineering, and their application to solve complex financial challenges like natural language understanding, text generation, summarization, and question answering.</li><li>
Data Analysis &amp; Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate for data augmentation or synthetic data generation.</li><li>
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference.</li><li>
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to understand requirements, translate them into technical solutions, and incorporate GenAI possibilities into the discussion, ensuring appropriate integration of functions to meet goals.</li><li>
System Enhancements &amp; Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI components seamlessly.</li><li>
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI where it can offer innovative solutions.</li><li>
Tool &amp; Technology Evaluation: Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks, libraries, and cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).</li><li>
Documentation &amp; Monitoring: Develop and maintain comprehensive documentation for AI/ML models and systems, specifically addressing GenAI implementations. Manage and monitor the performance, efficiency, and reliability of deployed AI/ML models, including evaluating the effectiveness of GenAI components in production.</li><li>
Mentorship &amp; Leadership: Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary and fostering a culture of innovation and continuous learning in GenAI.</li><li>
Risk Assessment: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, especially concerning responsible AI and GenAI ethics.</li></ul>
Qualifications:<ul><li>
Experience: 6+ years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions.
</li><li>Technical Proficiency:<ul><li>
Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development.</li><li>
Proven mastery of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies.</li><li>
Hands-on experience with Retrieval Augmented Generation (RAG) implementations, including vector databases (e.g., Pinecone, FAISS, ChromaDB), embedding models, and efficient retrieval mechanisms.</li><li>
Strong experience in chatbot development, particularly in building conversational AI systems that interact with both structured and unstructured data sources.</li><li>
Experience with document processing, information extraction, and OCR technologies for integrating unstructured data into GenAI workflows.</li><li>
Proficiency in leveraging LLMs for dynamic SQL generation and natural language to code tasks.</li><li>
Proficiency with key Python AI/ML libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, and numpy.</li><li>
Experience with MLOps practices, version control (Git), and collaborative development environments.</li></ul></li><li>
Project Management: Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework.</li><li>
Subject Matter Expertise: Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred.</li><li>
Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.</li><li>
Communication: Consistently demonstrates clear and concise written and verbal communication, capable of articulating complex technical concepts to both technical and non-technical stakeholders.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree/University degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent experience.</li><li>
Master&rsquo;s degree or Ph.D. prefer</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Digital Software Engineering
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$157 040,00 - $235 560,00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; 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:
abr 17, 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&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
157.00 Hour
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

GenAI Solutions Architect Lead Engineer Vice President

Fidelity Investments

<div><h3 class="jobSectionHeader">Job Description:</h3>
The Role
Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading and Investment Operations functions. We are seeking a Quant Data Engineer to join our Quantitative Research &amp; Investing Technology team. You will be responsible for database engineering aspects of software development, testing and ensuring compatibility with enterprise and solutions architecture by harnessing modern development technologies. You will have the chance to define and develop new capabilities and engage with multiple development teams and partners across the Asset Management technology. You are committed to ongoing development of your own expertise and knowledge to bring the latest capabilities and thinking to your team to empower others with that knowledge. This role will be responsible for designing, developing, and optimizing Oracle PL/SQL-based solutions that power critical risk analytics and reporting workflows.
As the database lead, you will own the full lifecycle of database development and collaborate closely with both business stakeholders and technical partners. You will play a key role in shaping the data design, ensuring performance and scalability, and driving strategic improvements across our risk infrastructure.
The Responsibilities You Will Have:<ul><li>
Lead the design and development of Oracle PL/SQL database processes, procedures, and packages to support investment risk analytics.</li><li>
Architect scalable and efficient database solutions for high-volume, time-sensitive risk data.</li><li>
Collaborate with risk managers, quantitative analysts, and engineering teams to gather requirements and deliver robust data solutions.</li><li>
Own performance tuning, query optimization, and troubleshooting of production database issues.</li><li>
Ensure data integrity, quality, and governance across systems.</li><li>
Drive modernization efforts, including migration from legacy systems and adoption of best practices.</li><li>
Define and enforce database development standards and documentation.</li><li>
Act as a strategic partner in planning long-term data architecture and infrastructure initiatives.</li><li>
Apply validated quality software engineering practices through all phases of development.</li><li>
Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support</li><li>
Provide mentorship and technical guidance to junior developers.</li></ul>
The Expertise and Skills You Bring:<ul><li>
10+ years of hands-on experience in Oracle PL/SQL development and database engineering.</li><li>
Proven expertise in designing and implementing complex database solutions in a production environment.</li><li>
Strong understanding of relational database design, indexing strategies, and performance optimization.</li><li>
Experience working with investment risk systems or financial data is highly preferred.</li><li>
Excellent communication and stakeholder management skills.</li><li>
Ability to lead cross-functional initiatives and work independently.</li><li>
Familiarity with tools such as Jira, Git, and CI/CD pipelines.</li><li>
Experience with data modeling and ETL frameworks.</li><li>
Exposure to Python or other scripting languages for data integration.</li><li>
Knowledge of cloud-based database solutions (e.g., AWS RDS, Snowflake) is a plus.</li><li>
Understanding of financial instruments, risk models, or portfolio analytics is beneficial.</li></ul>
The base salary range for this position is $126,000-255,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate&rsquo;s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity&rsquo;s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.<h3 class="jobSectionHeader">
Certifications:</h3><h3 class="jobSectionHeader">
Category:</h3>
Information Technology</div>

Director, Quant Data Engineering

Citi

<div><div><div>Job Req Id:</div>
<div>26953080</div>
</div><div><div>Location(s):</div>
<div>Jersey City, New Jersey, United States</div>
</div><div><div>Job Type:</div>
<div>Hybrid</div>
</div><div><div>Posted:</div>
<div>Apr. 15, 2026</div></div></div>
 <div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.<h3 class="jobSectionHeader">
Position Summary:</h3>
The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>
Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).</li><li>
ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.</li><li>
Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.</li><li>
SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).</li><li>
NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.</li><li>
Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.</li><li>
Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).</li><li>
Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.</li><li>
Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.</li><li>
Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.</li></ul><h3 class="jobSectionHeader">
Required Qualifications:</h3><ul><li>
6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.</li><li>
Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.</li><li>
Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).</li><li>
Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).</li><li>
Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).</li><li>
Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).</li><li>
Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.</li><li>
Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.</li><li>
Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.</li><li>
Knowledge of data governance practices (metadata, lineage, data quality frameworks).</li><li>
Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).</li></ul><h3 class="jobSectionHeader">
Core Competencies:</h3><ul><li>
Engineering rigor: Writes maintainable, testable code and designs resilient systems.</li><li>
Problem solving: Diagnoses data issues quickly and drives root-cause resolution.</li><li>
Ownership mindset: Takes accountability for production outcomes and operational reliability.</li><li>
Partnership: Collaborates effectively across application, architecture, and business teams.</li></ul>
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Primary Location:
Jersey City New Jersey United States
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Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; 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.
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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Anticipated Posting Close Date:
Jun 15, 2026
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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&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

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