Enterprise Data Engineering & ML Pipelines

Build the Data Foundation Your Business Relies On

Everyone sees the promise of AI, but without consolidated, governed data every pilot collapses under conflicting numbers and audit gaps.

We stitch together payroll, accounting, POS, online ordering, clickstream, and third-party enrichment into governed lakehouse architectures so teams operate from a single, near real-time view of the business.

In 8-12 weeks we replace brittle extracts with observable pipelines, hardened governance, and documentation that keeps AI, analytics, and operators aligned.

Data Engineering Sprint Outcomes

Current-state audit, architecture blueprint, and cost model
Production-grade pipelines with automated testing, lineage, and alerts
Operational dashboards so stakeholders see health and usage
Playbooks and training so your team can own and extend the platform

No Data Foundation, No AI Outcomes

We help you avoid the classic AI failure mode—launching ambitious pilots on top of fragmented, unreliable data.

Unified Signals

Blend payroll, accounting, POS, ordering, web traffic, and enrichment into governed models that agree down to the penny, delivering true data clarity.

Enterprise Guardrails

Security, lineage, and quality monitoring ensure auditors, regulators, and executives trust the numbers powering AI.

Near Real-Time Insight

Streaming and CDC pipelines keep dashboards, models, and operators aligned to the latest revenue and cost signals with real-time data clarity.

Data Engineering Wins

Clio Legal Software

Generated millions of qualified legal leads from public sources and unified them with Clio's sales exhaust.

Crawled firm websites, bar associations, and directories to assemble net-new prospects
Ran entity linkage to merge inbound, outbound, conference, and partner records into one view
Automated enrichment and lead scoring armed SDRs with the right context, impressing investors en route to unicorn status

Left Travel

Mapped the traveler journey across search, clicks, and bookings to fuel predictive marketing.

Blended Google search data, clickstream events, and booking systems into a single warehouse
Predictive models surfaced traveler preferences and profitability segments
Keyword recommendations and bid automation maximized ROI across campaigns

DomainTools

Processed billions of domain records to expose fraud, impersonation, and brand abuse.

Streaming ingestion enriched WHOIS, DNS, and telemetry into a searchable threat graph
Automated heuristics and ML flagged lookalike domains with precision for security teams
Executive reports detailed active threats and takedown priorities within minutes

Want more detail? Explore the full stories in our Success Library.

Value Delivered to Data Leaders

12x increase in analytics refresh cadence for global finance teams

70% reduction in manual data prep hours for AI initiatives

40% lower data platform spend through architecture optimization

Data Engineering Playbooks We Deliver

Modernize the entire path from data capture to decision—whether you run on Snowflake, Databricks, BigQuery, or lakehouse architectures.

Enterprise Data Fabric

Unify ERP, CRM, and operational systems into governed models that feed analytics and AI initiatives.

Streaming & CDC Pipelines

Capture changes in real time with resilient CDC and event pipelines so decisions run on live data.

Lakehouse Design & Analytics

Combine warehouse governance with data lake flexibility—semantic layers, Delta/Apache Hudi tables, and BI models that deliver self-service insights without shadow IT.

Finance Data Modernization

Automate reconciliations, close processes, and reporting packages with auditable data products.

Customer 360 Platforms

Resolve identities, unify journeys, and power personalization with privacy-aware data products.

ML & AI Readiness

Orchestrate feature stores, model registries, and monitoring pipelines that keep models production-ready.

Why CIOs & CDOs Trust Softmax

Architecture First

We design for resilience, observability, and cost control before writing a single pipeline.

Operations Ready

Automated testing, SLAs, and runbooks keep data teams confident as workloads grow.

Governance Built In

Lineage, quality scores, and access controls ensure compliance without slowing delivery.

Enablement Included

We train your analysts and engineers so the platform keeps evolving after go-live.

How We Modernize Your Data Platform

Collaborative sprints keep stakeholders aligned and progress visible from day one.

1

Discovery & Alignment

Inventory sources, bottlenecks, and business outcomes to prioritize the data products that matter most.

2

Architecture Blueprint

Design target-state data models, governance, and infrastructure aligned to your cloud strategy.

3

Build & Validate Data Products

Launch priority pipelines and models with automated testing, lineage, and observability baked in.

4

Launch & Scale Enablement

Migrate with minimal disruption, enable your teams, and queue the next wave of governed data products.

Modern Stack Expertise

We combine best-of-breed managed services and open-source frameworks tailored to your team.

Data Engineering