Software Engineer - Data Platform (All Levels)

Vantaca; Wilmington (NC); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental, Vision day one

Unlimited PTO

401K with company match

Job summary

Vantaca is seeking a data-platform-focused engineer to own ingestion, schemas, and derived metrics powering our AI-native community management platform. You will design scalable pipelines, governance models, and multi-tenant isolation while collaborating with cross-functional teams to deliver trusted insights.

You will work on LLM grounding and evaluation, ensure data is securitely served to agents, and shape analytics surfaces used by boards and operators.

Qualifications

• :Data fundamentals: built pipelines or aggregation layers over messy operational data.
• :Modeling instinct: relational and dimensional modeling; metrics as interfaces.
• :Product sense for data: ensure insights change how users do business.
• :AI-native by default: daily use of AI coding agents.
• :Polyglot and pragmatic: choose the right tool for each problem.
• :Curiosity and ownership: own end-to-end platform problems.

Responsibilities

• Ingestion & pipelines: batch and CDC from the system of record; transformations and reprocessing.
• Data models & metric layer: define schemas and governance for reliable metrics.
• Aggregation, rollups & derived metrics: materializations, partitioning, quality checks.
• Multi-tenant isolation: enforce tenant-scoped access and secure cross-tenant data.
• Access & serving layer: APIs and feeds for agents and external tools.

Skills

Data fundamentals

Modeling instinct

Product sense for data

AI-native by default

Polyglot and pragmatic

Ownership and curiosity

Tools

LookML

dbt

MetricFlow

Job description

About Vantaca

Powered by AI, Vantaca's vision is big! We are the leading AI-native community management performance platform that enables owners and operators, community management teams, boards and associations to work smarter, faster, and with unprecedented insight. More than just accounting and management software, Vantaca is intelligent business operating software that leverages artificial intelligence to automate routine work, surface actionable insights, and help our customers increase revenue, efficiency, flexibility, and control.

Built on modern cloud architecture with a single-platform design, Vantaca combines comprehensive functionality that adapts to 100% of business processes with AI-powered automation that learns and improves over time. Our proactive AI capabilities don't just report on what happened; they predict what's coming and recommend what to do next. From intelligent document processing and predictive analytics to automated workflows and conversational interfaces, we're transforming how community management companies operate.

With seamless integrations across the software and banking ecosystem, we're building the intelligent hub for community management where AI doesn't just assist, it anticipates. Vantaca is focused exclusively on community management and is the trusted technology leader defining the AI-powered future of the community association management industry. We're building something fundamentally different, and our customers are experiencing the competitive advantage that comes from working with truly intelligent software.

Vantaca just achieved unicorn status with a $1.25B valuation, so it's safe to say we're past the "scrappy startup phase." We're not just building a successful company, we're building the category-defining platform that will transform how an entire industry operates.

The Opportunity

Vantaca IQ is the intelligence layer at the core of Vantaca’s platform, and this team builds it. You take messy, multi-tenant operational data, organize it, and turn it into the insights and signals the platform acts on — surfaced where decisions get made and served to HOAi agents that act on it. You own the stack that makes that possible: ingestion and pipelines; the schemas and aggregation beneath every report; the reporting and ad-hoc query surfaces; the derived-intelligence layer; and the semantic and ontological model on top. You make community management legible to LLMs.

IQ is data-as-a-service, one governed source feeding humans and agents where they are — proactive, personalized, channel-agnostic. The hard problems sit here: serving cross-tenant data without leaking a byte, semantic governance that keeps one number from forking into five, eval harnesses that prove a grounded LLM is right, and pipelines trustworthy enough to bill against and report to boards.

What the Team Owns

• Ingestion & pipelines: batch and change-data-capture out of the operational system of record; transformations, scheduling, backfills, and idempotent reprocessing.
• Data models & metric layer: relational and dimensional schemas, and define-once metrics with the thoughtful governance.
• Aggregation, rollups & derived metrics: materializations, incremental rollups, and partitioning/indexing for fast, cheap queries — plus the score and benchmark jobs, with the data-quality checks, lineage, and tests that keep them correct.
• Multi-tenant isolation: tenant-scoped access and row/column controls on every surface, including cross-tenant aggregates that expose no individual tenant's data.
• Access & serving layer: how every consumer reads the platform's intelligence — query and metrics APIs, an MCP server for agents and external tools, embeddable feeds, and push to Teams and Slack — one governed contract whether the caller is a person, an app, or an agent.
• Reporting & ad-hoc surfaces: report definitions, board-packet generation, and self-serve query interfaces.
• LLM grounding & evals: the retrieval/semantic interface an LLM queries against, and the eval harnesses that measure and gate accuracy.
• Signal & action contracts: insight-detection jobs and the typed, audited output contracts HOAi agents consume to act.

What We're Looking For

At every level:

• Data fundamentals: you've built pipelines or aggregation layers over messy operational data and understand how analytical engines execute your queries.
• Modeling instinct: relational and dimensional modeling, and the conviction that every metric you publish is an interface someone, or some agent, depends on.
• Product sense for data: you care that an insight changes how our userd do business.
• AI-native by default: Active daily use of AI coding agents (Claude Code, Cursor, or similar); this is a baseline, not a differentiator.
• Polyglot and pragmatic: You reach for the right tool to solve each problem, while thoughtfully evolving the ecosystem.
• Curiosity and ownership: you run at ambiguous problems and take systems end-to-end (build ship operate).

At senior levels, additionally:

• Source-of-truth scar tissue: you've built a data platform other teams trusted and kept it trustworthy as it grew.
• Semantic governance: you've defined semantic-layer or metric-governance architecture and lived with the consequences.
• Grounded-LLM receipts: you've shipped or evaluated an LLM system grounded in governed data and can explain what you measured.
• Raising the bar: testing strategy, documentation, and mentoring.

How leveling works: Leveling is set during the interview process by demonstrated scope and impact — growing fast and thinking clearly often beats more years and logos.

Nice to Have

• Semantic-layer or metrics-store experience (e.g., MetricFlow, LookML, Cube, dbt, or similar).
• Modern data stack exposure (e.g., warehouses, lakehouses, event streaming, and orchestration tools).
• Multi-tenant analytics or cross-customer benchmarking — serving derived intelligence without leaking anyone's data.
• Exposure to property management, HOA, or real estate tech — helpful but not required.

Core Values

• Always Growing: Likes change and enjoys finding new ways to improve their knowledge and the platform. Always ready to learn quickly about emerging AI technologies and infrastructure patterns, helping themselves and the team grow.
• Win as a Team: Builds trust and works together by making sure everyone communicates well. Actively involved in daily platform work, working closely with engineering teams, listening to their infrastructure needs, and celebrating technical successes together.
• Accountability Starts with Me: Notices platform problems and takes personal action to solve them. Takes ownership of platform performance, reliability, and the success of internal customers building on the platform.
• Unwavering Commitment to Customer Experience: Regularly talks to internal customers (product teams, engineers), taking personal responsibility to understand what they need from the platform, address infrastructure concerns, and make their development experience better with improved platform capabilities.
• Innovate Boldly: We challenge the status quo and push technical boundaries to create meaningful change. We act with urgency and purpose, knowing that platform innovation drives our AI-native product success.

Why You Should Join Our Team

• AI-First Product Culture - Build the intelligent infrastructure that powers AI innovation at scale
• Our eNPS is +68! (Google it, that is great)
• Benefits: Medical, Dental, and Vision kick in day one
• Unlimited PTO (with a requirement for employees to take a minimum of one continuous week per year)
• 401K with Company Match
• Remote Flexible - come to the office when needed
• Great parental leave benefits
• Named on Inc 5000 list of America's Fastest Growing Private Companies
• Named on Inc 5000 Vet 100 Private Companies list multiple years in a row
• Winner of Coastal Entrepreneur Award, Technology Category
• Active employee-led Culture Committee
• Ongoing industry and professional development trainings available to all employees
• Multiple leaders on the executive committee recognized as 40 under 40 recipients for contributions to business and community
• We're playing offense to win! Our product market fit and our world‑class employees make us the leader in our space. We're building something cool and people like it here

We receive many resumes for our open positions and each one is reviewed by a human being on our recruiting team. We will compare your background with the qualifications and requirements for the position.

If you are selected for an interview you will receive an e‑mail from someone on our recruiting team with an @vantaca.com email address. It may take some time for us to review all of the applications so give us some time to respond. We appreciate your interest in this role.