DFIN - Donnelley Financial Solutions logo
DFIN - Donnelley Financial Solutions

A leading provider of risk and compliance solutions, DFIN - Donnelley Financial Solutions offers data insights, industry expertise, and insightful technology to help clients make s

Principal Data Platform Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 1,750Since 2016

Location

United States

Posted

39 days ago

Salary

0

Seniority

Senior

Bachelor Degree9 yrs expEnglish

Job Description

Principal Data Platform Engineer

DFIN - Donnelley Financial Solutions

Join a dynamic team at the pulse of global markets, where we deliver innovative software and service solutions for essential financial reporting and capital markets transactions. At DFIN, we are a values-driven organization that empowers you to build a fulfilling career while bringing your authentic self to work every day. Our "Win as One" mentality ensures that our team's success is directly linked to Client, Shareholder and Employee Satisfaction. Recognized as one of AMERICA'S MOST LOVED WORKPLACES® for five consecutive years and a Built In Best Places to Work for six years, we are committed to our employees' total well-being. Enjoy competitive compensation, a flexible workplace, comprehensive benefits, and opportunities for professional growth. Bring your passion and talents to DFIN - because being YOU thrives here. Summary: We are looking for technical leaders at all levels who want to push the boundaries of data architecture to deliver best in market SaaS solutions. We offer a challenging environment where you will have to grow, adapt and build the foundation for our next generation of data products. Our customers rely on us in the moments that matter. Engineering delivers on that promise. We are hiring a Principal Data Platform Engineer to turn established data architecture into reliable, production-grade systems . This is a builder role , not a conceptual architect position. The Principal Data Platform Engineer is responsible for implementing and institutionalizing our data platform patterns-ingestion, modeling, data quality, and reliability-across products and teams. You will work closely with the Senior Director, architects and product engineering teams, translating architectural intent into repeatable, enforceable, and observable solutions . This role exists to ensure that our data strategy operates predictably at scale . Responsibilities: - Lead the design and implementation of a Medallion architecture on Azure Fabric, enabling efficient flow from raw to curated data. - Develop clear, well‑tested, and well‑documented code in Python/PySpark and SQL, following modern DataOps best practices. - Optimize Lakehouse performance using partitioning, indexing, and effective OneLake storage strategies to support large regulatory datasets. - Analyze real business problems and deliver pragmatic data solutions, keeping strategy grounded and execution focused. - Collaborate with product managers, developers, SREs, and engineers across levels and geographies to build high‑impact software. - Design systems with operability in mind, using monitoring and metrics to quickly diagnose pipeline failures and data quality issues. - Champion simplicity, reliability, manageability, scalability, extensibility, reusability, and performance. - Continuously identify and address technical debt, making it visible and resolving it proactively. Qualifications: - Be committed to your professional development, the data products you deliver, and the firm. - Demonstrated experience with modern Data Lakehouse architectures; hands‑on experience or strong knowledge of Microsoft Fabric, OneLake, and Delta Lake (Parquet) is highly preferred. - 8-10 years of experience designing and building scalable, data‑centric applications and distributed data systems. - Proven experience developing secure data pipelines that meet enterprise security standards and participating in financial systems security practices. - Strong proficiency in Python/PySpark, SQL, and Fabric Data Factory (or Azure Data Factory). - Nice to have: experience with Azure, AKS, Docker, Kubernetes, and Power BI semantic models. - Bachelor's degree in Computer Science or equivalent practical experience. It is the policy of Donnelley Financial Solutions to select, place, and manage all its employees without discrimination based on race, color, national origin, gender, age, religion, actual or perceived disability, veteran status, actual or perceived sexual orientation, genetic information or any other protected status. If you are a qualified individual w ith a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access jobs.dfinsolutions.com as a result of your disability. You can request a reasonable accommodation by sending an email to talentacquisition@dfinsolutions.com . At DFIN, protecting your identity is a top priority. Please be aware of scammers impersonating DFIN recruiters. DFIN recruiters will never request personal information via email or text. You will only receive a text from us if you've already been in contact. All automated messages will come from talentacquisition@dfinsolutions.com . If you ever have doubts about the legitimacy of any communication from us, please do not hesitate to reach out for verification via talentacquisition@dfinsolutions.com (this email is for general TA questions and is not used for updates on your application status). #BI-Remote

Benefits

  • 401(K), 401(K) matching, Adoption Assistance, Childcare benefits, Commuter benefits, Company equity, Company-sponsored outings, Customized development tracks, Dedicated diversity and inclusion staff, Dental insurance, Disability insurance, Diversity manifesto, Documented equal pay policy, Volunteer in local community, Employee stock purchase plan, Family medical leave, Fitness stipend, Flexible Spending Account (FSA), Flexible work schedule, Generous parental leave, Generous PTO, Company-sponsored happy hours, Health insurance, Highly diverse management team, Job training & conferences, Open door policy, Life insurance, Mentorship program, Online course subscriptions available, Open office floor plan, Paid holidays, Paid industry certifications, Paid sick days, Onsite office parking, Partners with nonprofits, Performance bonus, Promote from within, Lunch and learns, Remote work program, Return-to-work program post parental leave, Team based strategic planning, OKR operational model, Continuing education available during work hours, Mandated unconscious bias training, Unlimited vacation policy, Vision insurance, Wellness programs, Some meals provided, Mental health benefits, Diversity employee resource groups, Hiring practices that promote diversity, Employee resource groups, Employee-led culture committees, Quarterly engagement surveys, Hybrid work model, Employee awards, Diversity recruitment program, Wellness days, Personal development training, Apprenticeship programs, Flexible time off, Floating holidays, Bereavement leave benefits, Hardship benefits

Related Categories

Related Job Pages

More Data Engineer Jobs

Infotree Global Solutions logo

Azure Data Engineer

Infotree Global Solutions

The branch to Innovation, Talent and Results

Data Engineer39 days ago
Full TimeRemoteTeam 1,001-5,000Since 2002H1B Sponsor

• Projektowanie i rozwój pipeline’ów danych oraz rozwiązań przetwarzania danych w oparciu o Azure Databricks i Python • Budowa i utrzymanie rozwiązań na platformie Azure Data (Data Lake, Data Factory, Synapse) • Tworzenie i rozwój Data Products oraz zarządzanie nimi (Unity Catalog) • Współpraca z biznesem — zbieranie wymagań i przekładanie ich na rozwiązania techniczne • Dbanie o jakość danych, bezpieczeństwo oraz zgodność z wymaganiami • Integracja rozwiązań danych z innymi systemami w organizacji • Usprawnianie wydajności, skalowalności i kosztów rozwiązań

Poland
Silverchair logo

Data Engineer

Silverchair

The Silverchair Platform + ScholarOne | Innovative Technology & Services for Scholarly & Professional Publishers

Data Engineer39 days ago
Full TimeRemoteTeam 201-500Since 1993H1B Sponsor

• Design, build, and maintain data pipelines that ensure reliable data flow from source systems through transformation layers to reporting • Integrate data quality checks and validation into the pipeline workflow • Implement error handling, logging, and retry capabilities to keep pipelines robust and recoverable • Develop SQL and Python-based transformations that cleanse, enrich, and structure data for analytical use • Monitor and tune pipeline and query performance • Collaborate with your scrum team and cross-functional partners across analytics, product, and engineering

Virginia
$115K - $135K / year
The Phia Group, LLC logo

Data Engineer

The Phia Group, LLC

The Phia Group is an experienced provider of healthcare cost containment techniques.

Data Engineer39 days ago
Full TimeRemoteTeam 201-500Since 2000H1B No Sponsor

• supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets • collaborating across multiple teams and stakeholders to solve complex problems and support data-driven initiatives • build, maintain, and optimize data pipelines utilizing Azure Data Factory • implement monitoring, alerts, and testing of data pipeline performance, data quality metrics, and lineage • troubleshoot data issues and perform root cause analysis • collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements • support deployment and operationalization of machine learning models • continually improve ongoing reporting and analytics

United States
Nagarro logo

Associate Principal Engineer, Data Science

Nagarro

Nagarro (Frankfurt: NA9) is a leader in digital product engineering and drives technology-led business breakthroughs.

Data Engineer39 days ago
Full TimeRemoteTeam 10,001+Since 1996H1B Sponsor

Role Description We are looking for a skilled professional to join our team with the following responsibilities: - Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. - Mapping decisions with requirements and be able to translate the same to developers. - Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. - Defining guidelines and benchmarks for NFR considerations during project implementation. - Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. - Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. - Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. - Understanding and relating technology integration scenarios and applying these learnings in projects. - Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. - Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications - Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Requirements - Total experience 9+ years. - Hands on working experience in data science with a focus on predictive modelling (e.g., Statistical Analysis, ANOVA, Time series Analysis, Regression Analysis) and optimization. - Strong working experience with Data Science on GCP, Generative AI fundamentals. - Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn. - Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g., AWS, Azure, GCP). - Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques. - Familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering. - Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. - Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Company Description

India
Job Closed