VP Data Migration & Integration Architect

Axon; Boston (MA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Axon offers a mission-driven environment in which experienced data leaders design and implement scalable migration, integration, and data-conversion platforms across multiple product lines. You will lead architecture, tooling, and governance for secure, compliant data exchanges that minimize downtime and maximize velocity, working with product and R&D to bake complexity into future products.

You will build and scale teams of data engineers and solution architects, establish standards, and drive

Qualifications

• Bachelor's degree in computer science, engineering, or a related technical field (or equivalent hands‑on experience).
• 10+ years leading technical delivery, integration, or migration teams, including 5+ years in a hands‑on architecture, systems, programming, and/or build capacity.
• Demonstrated experience designing and building data migration/conversion platforms or frameworks at scale — not just running individual migration projects
• Deep technical fluency in ETL/ELT design, data modeling, schema mapping, API-based and event-driven integration patterns, and data quality/validation frameworks
• Familiarity with AI/ML-assisted data mapping, entity resolution, or automated schema inference to accelerate conversion work
• Direct experience with one or more enterprise data integration/migration platforms (e.g., Informatica, MuleSoft, Fivetran, Talend, Databricks, Snowflake, Palantir Foundry, Boomi, SnapLogic, Workato, AWS Glue/DMS)
• Strong SQL and data pipeline scripting ability (Python or equivalent)
• Experience leading legacy system decommissioning and cutover at scale, with a track record of minimizing customer downtime and data-loss risk
• Proven ability to build and scale technical teams, including hiring and developing data/integration engineers and solution architects
• Excellent written and verbal communication; able to translate deep technical tradeoffs for executive, sales, and customer audiences

Responsibilities

• Owns the technical architecture and execution for data migrations, conversions, and integrations across Records, Standards, Gravity, and Vision — replacing ad hoc, engagement-by-engagement approaches with reusable frameworks, connectors, and tooling.
• Partners with Product to design and build a modern migration/integration platform — ETL/ELT pipelines, schema-mapping and transformation tooling, data quality/validation frameworks, reconciliation and rollback tooling — that can be configured per agency rather than rebuilt per agency.
• Leads data solution engineering and solution architecture teams responsible for legacy CAD/RMS data extraction, evidence and case data conversion, camera network/device integration (Fusus), and standards-based interoperability (e.g., NIEM, NIBRS, CJIS-compliant data exchange).
• Establishes common data mapping, transformation, and validation standards across products so a single integration pattern can serve Records, Standards, Gravity, evidence migrations and Vision instead of five bespoke pipelines.
• Partners closely with Product and R&D to build, influence, and execute roadmap changes so migration/integration complexity is designed into new products rather than absorbed downstream by services.
• Defines and enforces data governance, security, and chain-of-custody requirements for sensitive public safety and criminal justice data throughout migration and integration workflows.
• Builds a clear build-vs-buy point of view on migration/integration tooling — evaluating platforms such as Informatica, MuleSoft, Fivetran, Databricks/Snowflake, Palantir Foundry, and Boomi — and makes the call on what to build in-house vs. license.
• Establishes KPIs for migration/conversion velocity, data quality, defect rates, and time-to-go-live, and drives them down systematically.
• Builds, mentors, and scales a team of data engineers and solution architects; establishes career paths and technical leveling for a discipline that has historically been treated as a services function rather than an engineering one.
• Partners with PSO delivery leadership, Sales, and the Mission Engineering/Operator team to align migration/integration capacity and pricing with customer commitments.
• Stays current on data platform tooling, AI-assisted mapping/transformation, and public-safety interoperability standards to keep Axon's approach ahead of the market.
• Establishes a third-party partnership strategy to build robust, repeatable API pipelines and integration processes, including mutually beneficial engagements with industry partners and competitors.

Skills

Leadership

Data migration

Architecture

Communication

Team building

ETL/ELT design

Data modeling

API-based integration

Python

SQL

Education

Bachelor's degree in computer science or engineering

Tools

Informatica

MuleSoft

Fivetran

Talend

Databricks

Snowflake

Palantir Foundry

Boomi

SnapLogic

Workato

AWS Glue/DMS

Job description

Axon offers a mission-driven environment in which experienced data leaders design and implement scalable migration, integration, and data-conversion platforms across multiple product lines. You will lead architecture, tooling, and governance for secure, compliant data exchanges that minimize downtime and maximize velocity, working with product and R&D to bake complexity into future products.

You will build and scale teams of data engineers and solution architects, establish standards, and drive