Full-Time
Posted on 9/27/2025
Payment processing, data, and growth platform
No salary listed
San Antonio, TX, USA + 2 more
More locations: Laredo, TX, USA | McAllen, TX, USA
Remote
Candidates must reside in Texas to service markets in San Antonio, McAllen, and Laredo.
Deluxe is a Payments and Data company that helps businesses pay with ease, get paid faster, and grow profits. It provides payment processing and data-enabled solutions that cover the customer lifecycle, from startup to maturity, serving millions of small businesses, thousands of financial institutions, and hundreds of large consumer brands. The company operates at a large scale, processing about $3 trillion in annual payment volume, and leverages its reach and distribution channels to act as a trusted business partner. Unlike smaller peers, Deluxe distinguishes itself through its established track record, extensive network, and ability to support customers throughout their growth journey. Its goal is to enable communities to thrive by enabling smooth payments, faster cash flow, and profitable growth for its customers.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Saint Paul, Minnesota
Founded
1915
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Health Insurance
Paid Vacation
401(k) Company Match
Employee Stock Purchase Plan
Short-Term and Long-Term Disability
Family Planning Benefits
Tuition Reimbursement
Deluxe has partnered with Washington Trust Bank to provide merchant services, highlighting its payments platform capabilities. The company's shares have risen 21.78% over 90 days and delivered a 107.99% return over one year, though the five-year return shows an 11.08% loss. Trading at $28.80 against an analyst price target of $32.67, Deluxe appears undervalued. The company's Data Solutions segment has grown 18% year-on-year, driven by digital business adoption and its cloud-based marketing database serving financial institutions. However, risks include reliance on a declining Print segment and increasing competition from fintech and SaaS payment providers, which could pressure margins and growth. The partnership with Washington Trust Bank strengthens Deluxe's position in scalable merchant services and operational support for banks.
Reimagining data matching in the AI era: how modernization helped Deluxe triple processing speed and cut costs by 99%. Discover how Deluxe enhanced scalability, improved performance, and paved the way for sustainable growth in partnership with Impetus and AWS. Impetus / resources / reimagining data matching in the AI era: how modernization helped Deluxe triple processing speed and cut costs by 99%. In financial services, data matching is a foundational capability that keeps transactions accurate, compliant, and trustworthy. Whether it's ensuring payments reach the right recipients or enabling precise customer targeting, the accuracy and speed of data matching greatly influences business outcomes. Yet, as data volumes grow exponentially and customer expectations increase, traditional matching systems often struggle to keep pace. Deluxe, a payments and data leader, wanted to rebuild its core matching platform which handles a wide spectrum of workloads and powers critical customer-facing services. Deluxe uses this platform to compare and reconcile data from diverse sources - often based on individual or business names and addresses. With growing volumes of matching workloads and concurrency needs, their homegrown legacy matching platform struggled across multiple dimensions: * Inconsistent matching accuracy, leading to false positives/negatives * Limited concurrency, with failures beyond ~30 parallel workloads * Rising infrastructure costs from always-on systems * Operational inefficiencies, including job failures and SLA risks As workloads increased, these issues compounded, impacting not just system performance but customer experience and profitability. From bottlenecks to breakthroughs: building a cloud-native, event-driven matching platform on AWS. To break past these barriers, Deluxe tried leveraging OpenSearch for vector embeddings and search, but the results were inconsistent, with high-scoring matches occasionally getting missed. The company then partnered with Impetus to rebuild its matching platform and transition to a modern, AWS-native architecture purpose-built for scale, speed, and efficiency. Deluxe's ongoing partnership with Impetus for data and AI development ensured a deep understanding of their systems, enabling seamless collaboration and effective delivery. Impetus redesigned the existing matching platform to a flexible, modular, distributed architecture on AWS, leveraging their in-depth experience of modernizing large-scale data platforms. Key innovations included: * Transitioning from a monolithic system to independently scalable jobs - each optimized for its workload * Replacing always-on infrastructure with on-demand compute that automatically adjusts resources * Swapping vector embeddings with string similarity algorithms to meet deterministic matching needs * Converting Python UDFs to Spark-native processing to improve execution speed 7-10x * Eliminating redundant data processing steps to reduce overhead costs A powerful combination of AWS services was leveraged to ensure intelligent orchestration: * AWS Lambda and Amazon DynamoDB to manage configuration settings and concurrency limits, queuing and validating job requests * AWS Glue for filtering incomplete records, performing hash-based matching, and partitioning data * Amazon SageMaker to process partitioned datasets using FAISS-based in-memory vector search for matching precision * AWS Glue jobs to apply custom matching rules and write the results to Amazon S3 for downstream use "When we attempted transforming our legacy matching service the first time, we didn't get the scale or performance we were looking for. We needed a trusted partner who could bring in the vision needed to build a new, modern matching solution. This is where Impetus came in and helped us extensively." - Satish Balasubramanian, Divisional CTO, Data & Enterprise Architecture, Deluxe Enabling high performance and limitless scalability at 1% of the cost. With the new cloud-based matching platform, Deluxe shifted from slow, failure-prone batch processing to reliable, high-speed execution powered by on-demand compute. The transformation redefined what's possible for data-intensive operations in financial services, proving that scale, speed, accuracy, and cost-efficiency can coexist. Matching for massive datasets (100 million+ records) which once took weeks to process - was now completed in approximately two hours. What's more, monthly vector search costs dropped from about $75,000 to nearly $700 - bringing the cost per run down to roughly $1 per million records. Modernization also helped reduce operational overheads, eliminating the need for manual infrastructure management. Additionally, Deluxe was able to process more workloads simultaneously, handle larger and more complex datasets, and adapt quickly to evolving business needs. Key business benefits: * 99% reduction in monthly vector search costs * 3X faster processing for match jobs * $1 cost per match run with million records * Hundreds of parallel jobs supported in production "With Impetus and AWS, we're no longer constrained by processing time or concurrency limits. That's been a game-changer for scaling our operations," added Satish Balasubramanian, Divisional CTO, Data & Enterprise Architecture, Deluxe. Laying modern data foundations for an AI-driven future. As data volumes surge and AI adoption increases across industries, the ability to scale core operations like data matching is becoming a defining advantage for financial services organizations. The winners will be those who can process faster, scale smarter, and optimize costs, without compromising accuracy or reliability. Deluxe's transformation journey reflects a broader shift toward cloud-native, event-driven data architectures. By rethinking how core processes like data matching are designed, Deluxe didn't just solve for performance; it built a foundation for continuous scale, agility, AI-driven innovation, and sustained revenue growth. Ready to modernize your data foundation and ensure AI-readiness? With deep expertise in data engineering, agentic AI, and cloud modernization, Impetus helps power truly intelligent enterprises. Learn how you can transform your legacy data platforms into high-performance, cost-efficient engines - which fuel AI innovation and support your unique analytics use cases. Read the full AWS case study to dive deeper into Deluxe's modernization journey with Impetus and AWS. Vigyan Agrawal - Director, Strategic Accounts, Enterprise Solutions Hussain Saify - Senior Technical Architect, Enterprise Solutions
Deluxe reported strong fourth-quarter and full-year 2025 results, with CEO Barry McCarthy highlighting significant progress towards transforming the company into a payments and data business. Comparable adjusted EBITDA grew over 6%, whilst comparable adjusted EPS increased 13% and operating income rose 23%. The company generated $175 million in free cash flow, achieving its 2026 target a year early. Net debt decreased by $76 million, bringing the year-end leverage ratio to 3.2 times, ahead of schedule. Payments and data now represent 47% of revenue, up from 43% a year ago, with these businesses growing 12% in Q4 and 10% for the full year. Deluxe expects payments and data to reach revenue parity with print businesses later this year, marking the third consecutive year of EBITDA growing faster than revenue.
Deluxe reported FY2025 results with comparable adjusted EBITDA rising 6.2% to $431.5 million and adjusted EPS increasing 12.6% to $3.67. GAAP net income reached $85.3 million, whilst free cash flow climbed to $175.3 million. Net debt fell $76.2 million to $1.39 billion. The company is shifting strategically, with Payments and Data now representing 47% of revenue, including Data revenue growth of 31.3% to $307.3 million. Management expects Payments and Data to match Print revenue in 2026, guiding total revenue of $2.11–$2.175 billion and adjusted EBITDA of $445–$470 million. Deluxe is deploying AI across marketing and customer service, completed two acquisitions including CheckMatch, and declared a $0.30 quarterly dividend. The company secured S&P upgrades and a positive Fitch outlook.
Deluxe, a notable leader in payments and data solutions, has recently bolstered its Board of Directors with the appointment of Michelle T. Collins, a former Deloitte partner with an extensive background in financial management and corporate governance.