--- title: 'Senior Data Platform Engineer at Aperia' canonical: 'https://feeny.ai/job/senior-data-platform-engineer-aperia-dallas-texas-1dawnd6hs7ek' type: 'job' last_seen: '2026-09-11' --- # Senior Data Platform Engineer at Aperia - **Company:** Aperia - **Location:** Dallas Texas, United States - **Posted:** 2026-08-28 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/aperiasolutions/jobs/5224542007 ## Job description ## About Aperia Solutions Aperia Solutions is a leading payments SaaS company headquartered in Dallas, Texas. We build risk management, residuals accounting, compliance, and analytics platforms used by merchant banks, ISOs, payment processors, and other participants in the credit card payments ecosystem. Operating under PCI DSS 4.0 compliance across dual on-premises datacenters (Allen, TX and Chicago, IL) plus Azure cloud, we process high-volume payment data for some of the industry’s largest players. We’re in the middle of a significant platform modernization program: a next-generation risk analysis and scoring platform on Microsoft Fabric, an AI-powered ingestion platform, new AI-native applications, and ongoing evolution of the products our clients rely on every day. The teams executing this work are deliberately small and senior, with executive-level support and minimal bureaucracy. Every senior hire is a founding contributor to the architecture and the code. A ## About the Role Aperia is building a next-generation risk analysis and scoring platform on Microsoft Fabric, and this role owns its medallion data architecture end-to-end. You'll design and build Bronze / Silver / Gold Delta tables, Fabric Spark feature pipelines, Direct Lake semantic models, and physical-layout optimizations. This is our highest-utilization engineering role on the project — central to both Phase 1 platform foundation and Phase 2 risk product delivery, working alongside a Senior Technical Lead, Senior DevOps engineer, and mid-level developer. The platform ingests transaction and merchant data from clients via SFTP and API, tokenizes sensitive PAN data at the ingestion boundary using our reserved-BIN HMAC-derived format-preserving scheme, and lands data in Aperia's canonical Silver on Microsoft Fabric per our internal canonical spec. You'll build the pipeline that populates canonical Silver via MERGE, consume it via OneLake shortcuts, and materialize risk-specific Gold tables that feed both custom-authored DMN rules and pre-scored Mastercard Brighterion feeds. ## What You'll Do - Design and implement Bronze, canonical Silver, and Gold Delta table schemas with PAN-safe physical layout — statistics allowlist configuration, liquid clustering, deliberate retention settings, V-Order optimization. - Build Fabric Spark notebooks for the feature pipeline (rolling velocity features across 24h / 7d / 30d windows, merchant-level rolling features, hierarchical rollups, cross-merchant features via pan_token joins). - Author per-flavor-version Silver adapters — one function per flavor, unioned by name, tested against golden fixtures. - Build the canonical MERGE DAG (Bronze → canonical Silver, idempotent on _natural_key per Aperia's canonical Fabric internal spec v1.4). - Build the Gold materialization pipeline for both grains (fact_transaction_risk, fact_merchant_risk) with correct score-source stamping and idempotent merge semantics. - Design and implement Direct Lake semantic models per reporting surface; performance-test against representative data volumes. - Configure OneLake namespace layouts, workspace catalogs, and cross-workspace shortcut relationships with the residuals programme. - Establish idempotent Delta write patterns using delta-rs from Python containers (segmented parallel writes with single atomic commit). - Fabric capacity sizing (F-SKU selection, load testing, Reservation vs PAYG decisions). - Partner with the DevOps engineer on Fabric IaC (Terraform capacity provisioning plus Fabric REST workspace bootstrap). - Consult on ClickHouse contingency if Direct Lake latency proves insufficient for client-tier UIs. ## What You Bring - 5+ years data engineering experience, with at least 2 years hands-on Spark development (PySpark preferred). - Deep Delta Lake internals knowledge — transaction log format, checkpoints, retention settings (logRetentionDuration, deletedFileRetentionDuration), VACUUM, OPTIMIZE, deletion vectors, statistics collection. - Parquet format expertise — footers, statistics allowlists, row-group sizing, dictionary encoding, column indexes. - Microsoft Fabric hands-on experience — workspaces, capacities, notebooks, lakehouses, semantic models, Direct Lake, SQL analytics endpoint. - SQL performance tuning skills for both OLAP (Fabric) and OLTP (PostgreSQL) workloads. - Strong Python data engineering skills — pandas, PyArrow, delta-rs. - Ability to communicate architecture clearly in writing and to work autonomously on well-scoped features. ## Nice to Have - PCI-scoped data platform experience. - Financial services or payments domain background. - Power BI semantic model authoring (DAX). - Familiarity with published data-standard governance patterns — logical model vs physical profile, SCD2 dimensions, natural-key idempotency, extension attribute stores. - OneLake shortcuts and cross-workspace lakehouse patterns. - ClickHouse or similar OLAP engine familiarity. - Terraform for Azure data resources. - Prior experience with fluid or schema-flexible ingestion patterns. ## Why Aperia - Founding-member impact on a strategic platform serving a multi-hundred-million-dollar industry — your architectural decisions carry weight and ship to production. - Direct working relationship with the SVP of Technology; small team; minimal bureaucracy; senior peers. - Genuine engineering culture — technical correctness valued over slideware; extensive design documentation; real design reviews; ADR discipline. - Explicit team commitment to AI-assisted development (Claude Code, Cursor, GitHub Copilot) — treated as a first-class productivity multiplier, not a novelty. Team standards documented and enforced. - Modern tech stack: Microsoft Fabric, AKS, Azure, Airflow, Python, Delta Lake, Kogito/DMN, OpenBao, Kubernetes. Eligibility Requirements - Must be willing to submit to a background investigation and drug test as part of the selection process. Job Type - Full-time Schedule - Hybrid / Monday to Friday Work Location - Dallas, TX ## Benefits - Health insurance - Health savings account - Dental insurance - Vision insurance - 401(k) matching - Life insurance - Paid time off - Parental leave - Disability insurance - Childcare assistance - Education reimbursement - Fitness membership - Volunteer time off ## About Aperia ## Company Overview - **One-liner**: Aperia is a privately held fintech and managed consultancy firm that builds SaaS platforms and delivers technology services to financial institutions, payment companies, and government agencies. - **Entity Type**: Private (Bootstrapped — 100% privately owned, purpose-driven) - **Headquarters**: Dallas, Texas, United States - **Founded**: 1999 (or 2001 per LinkedIn; the company website states "over 25 years" of leadership) - **Founders**: Not publicly disclosed ## Core Business - **Primary Industry**: Fintech, Payments, Government/Defense Technology, IT Services - **Target Customers**: Banks, processors, payment facilitators, merchant service providers, independent sales organizations, and government/defense entities (B2B, Enterprise) - **Mission Statement**: Not explicitly stated as a single quote, but the company describes itself as "Built on Purpose, Driven by Impact" and focuses on "innovation, usability, and security" to help organizations "operate smarter, faster, and with confidence." ## Products & Services - **Compliance Platform**: Streamlines education, assessment, tracking, and regulatory reporting for regulated environments. - **Risk Management / Fraud Detection**: Real-time monitoring, intelligent analytics, and automated fraud detection; analyzes hundreds of millions of transactions. - **Customer Onboarding**: Digitizes and streamlines onboarding with automated workflows and accelerated activation. - **Analytics & Business Intelligence**: Advanced analytics and flexible reporting to turn data into actionable insight. - **Compensation Management**: Automates complex partner and agent compensation with configurable models and accurate reporting. - **Customer Intelligence Platform (CIP)**: Unifies case management, service workflows, and performance metrics in a configurable interface. - **Software Development as a Service (SDaaS)**: Full-stack engineering for platform modernization and custom development. - **Managed Resources**: On-demand access to expert Agile teams that integrate with client organizations. - **Consultancy**: Close partnership to solve complex, data-driven problems and refine processes. - **Government, Defense & Security**: Cloud-native solutions for data unification, situational awareness, and mission-critical operations. ## Market Standing - **Valuation**: Not disclosed (privately held) - **Key Metric**: Annual Revenue estimated at **$56.2M** (per LinkedIn data); serves **over 6 million users** across hundreds of clients - **Notable Investors/Partners**: 100% privately owned; no external investors listed. Clients include banks, payment processors, and government agencies. - **Growth Signals**: Global workforce of **400+ employees** (LinkedIn reports 187 but the company website states 400+; the discrepancy may reflect total headcount including contractors/global offices). Offices in Dallas, Washington DC, and Vietnam. Senior management average tenure of **18 years**. ## Competitive Advantages - **Deep Fintech & Payments Expertise**: Over 25 years of experience solving complex data and reconciliation challenges for the payments industry. - **Long-Term Client Relationships**: Emphasizes partnership over vendor status; high client retention. - **Regulatory & Security Focus**: Deep experience in highly regulated industries (payments, banking, government). - **Stable Leadership**: Senior management team with average tenure of 18 years ensures strategic continuity. - **Global Delivery Model**: Offices in the US and Vietnam enable cost-effective, round-the-clock development and support. ## Strategic Focus - Continued expansion of SaaS platforms for compliance, risk, and customer intelligence - Deepening capabilities in government, defense, and security sectors - Scaling managed resources and SDaaS offerings - Maintaining a 100% privately owned, purpose-driven model for long-term growth ## Why Work Here - **Culture**: Describes itself as "a family" where "no single role is more important than another." Core values: Innovation, Usability, Security, Partnership, Transparency, Teamwork. - **Work Model**: Hybrid working model in place (as of 2022). "We value your individual contribution and trust your results, regardless of your role." - **Global Team**: Fast-paced, global organization with offices in Dallas, Washington DC, and Vietnam. - **Career Growth**: "A career at Aperia promises a great challenge, culture, and opportunities to forge your own path." Open roles include Product Manager, Project Manager, Senior Software Developer, and more. - **Stability**: Privately owned with no outside investors, allowing long-term strategic focus. - **Diversity & Inclusion**: Equal Opportunity/M/F/Vet/LGBT/Disabled Employer. ## Sources 1. [aperia.com](https://www.aperia.com/) 2. [aperia.com/about](https://www.aperia.com/about) 3. [aperia.com/services](https://www.aperia.com/services) 4. [Greenhouse Careers Page](https://job-boards.greenhouse.io/aperiasolutions) 5. 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