Embedded leadership. Principal execution.
Data platforms and enterprise AI designed for decisions—not demonstrations. Dedicated senior ownership from strategy through production.
Services
Choose the level of support your data function needs now. Scale it as the work evolves.
Dedicated data engineering leadership embedded with your organization for long-term transformation, platform delivery, and team development. Fractional support is available for focused strategic needs.
Platform-specific delivery shaped around the client's chosen architecture. Cloud warehouse and lakehouse engagements remain deliberately separate.
Production AI grounded in enterprise data—from Cortex AI and vector search to RAG solutions on Bedrock and Microsoft Foundry.
Approach
Senior ownership stays close from architecture through adoption—observability, testing, governance, and knowledge transfer are part of delivery, not an afterthought.
Find the constraint
Map the data estate, the decisions it should support, and the single bottleneck holding delivery back.
Make the tradeoffs
Architecture decided in the open: cost, latency, governance and team capacity weighed explicitly.
Build in production
Pipelines, models and AI workflows shipped with observability, testing and CI/CD from day one.
Leave capability behind
Standards, documentation and knowledge transfer so the team owns the platform after the engagement.
Engagement model
Embedded leadership. Long-term ownership.
Focused expertise. Flexible scope.
Malum Data is built for dedicated, long-term engagements and also supports fractional or advisory scopes. Work can be direct or alongside established consultancies, with clear ownership, confidentiality, and zero channel conflict.
Results
Client identities are withheld by agreement. Measured outcomes are labeled as such; ongoing work is presented as representative current scope, never as proven results.
Healthcare manufacturing / Global supply chain / 19+ markets
Challenge
Regional supply, logistics, and financial data arrived through inconsistent patterns, slowing decisions across a regulated, multi-market operation.
Delivery
A Snowflake medallion platform with Python, SQL, Airflow, and dbt; standardized testing and governance; Cortex AI for natural-language analysis, summaries, anomaly detection, and enrichment.
Measured outcomes
Talent & professional services / Enterprise operations
Challenge
Real-time and historical views across hundreds of CRM objects while protecting sensitive candidate and customer information.
Delivery
Metadata-driven Databricks lakehouse using Python, SQL, Structured Streaming, Delta Lake, and Lakeflow; automated reconciliation, PII controls, observability, CI/CD.
Scale
Advertising technology / Media performance
Challenge
Consistent CPM, CTR, conversion, and ROAS metrics for multimillion-dollar media investment.
Delivery
Databricks lakehouse with Python, SQL, Airflow, Delta Lake, and dbt; governed datasets for Sigma and Looker.
Measured outcomes
Energy efficiency & climate programs / Multi-state
Challenge
A legacy monolith slowed rebate, incentive, and climate-program insights across U.S. markets.
Delivery
Snowflake, Python, SQL, Airflow, and dbt; modular transformations, orchestration, reproducible infrastructure, governed operational data products.
Measured outcomes
Financial intelligence / Governed generative AI
Challenge
One trusted experience across KPIs, market data, regulatory filings, and sustainability reports with source traceability.
Delivery
Production RAG using LangChain, LangGraph, Postgres vector search, document parsing, governed retrieval, and Docker deployment.
Capabilities
Professional tools & industrial technology / Current leadership engagement
Challenge
Global manufacturing, retail channels, supply chain, inventory, finance, sales, service, and connected equipment create a complex operational data estate.
Representative current scope
Databricks engineering direction and delivery model; domain-aligned Delta Lake products; reusable Python and SQL frameworks; Unity Catalog governance; Azure DevOps automation; trusted semantic data for Power BI, Databricks Genie, RAG, and Microsoft Foundry.
Engagement focus
The firm
Malum Data is a boutique consultancy that has built and modernized cloud data platforms since 2013. We combine architecture, hands-on engineering, and team leadership across cloud data platforms, lakehouses, Airflow, Python, SQL, and enterprise AI — delivered by senior practitioners, never handed down to junior benches.
Start with the real constraint
Send a short brief. You get a direct reply from a senior practitioner — not a sales sequence.
Dedicated, fractional, and partner-led engagements · U.S. companies · Remote