Data Conversion Solutions Architect (Hybrid, Client-Facing)

Stryker Corporation

Seattle (WA)

Hybrid

Confidential

Full time

14 days+

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Benefits offered by this job

401k with employer match
Discretionary time off
Paid parental leave
Medical plan
Dental plan
Vision plan
Fitness programs
Emotional & Development Programs
Snacks

Job summary

Axon is hiring a Data Solutions Engineer II, Data Conversion in a hybrid role with up to 30% travel. You will architect and deliver end-to-end data conversion from legacy systems to Axon's platform, ensuring quality and client satisfaction.

You will work with client teams and internal groups to scopes, transform, and validate data deliveries while maintaining autonomy and strong collaboration. You will travel to client sites, lead data discovery sessions, and continuously improve conversion

Qualifications

  • Bachelor's Degree in a technical or quantitative field, or graduate of coding boot camp.
  • 5+ years of technical experience in a related field.
  • Proficiency in SQL, Python, Bash, GraphQL, and Azure Cloud tools.
  • Hands-on experience with database systems (SQL Server, Oracle, MySQL, PostgreSQL), API structures (REST), and data formats (JSON, XML, YAML).
  • Data-mapping project experience for ETL (Extract, Transform, Load).
  • Experience developing and maintaining customer production systems.
  • Familiarity using API REST clients to perform tests (Postman, Insomnia, etc.).
  • Backend engineering experience (Java, Scala, C++, or similar) is a plus.
  • Excellent written and verbal communication skills; able to work with all levels of technical proficiency.
  • Ability to independently manage technical projects - prioritizing tasks, tracking progress, driving deliverables to completion with minimal oversight.
  • Experience delivering software in a regulated environment (GovTech, HIPAA, FinTech, ISO, etc)
  • Past experience with Records Management Systems (RMS), Computer Aided Dispatch (CAD), or public safety software is a plus.
  • Must pass a CJIS background check and maintain confidential information.
  • Enthusiasm and commitment to Axon's Mission and Core Values.

Responsibilities

  • Develop data mappings, transformation logic, and conversion scripts to extract, transform, and prepare data from agency legacy systems for ingestion into Axon's platform.
  • Execute and monitor data ingestions end-to-end, independently resolving errors and ensuring completeness and accuracy.
  • Perform hands-on database analysis, schema mapping, and data profiling; travel to client sites for data discovery.
  • Restore database copies and manage data environments to support conversion activities.
  • Serve as a client-facing technical expert within the Productivity Professional Services team.
  • Identify and assess data conversion requirements when migrating from legacy systems to Axon's product suite.
  • Collaborate with product management, sales, software engineering, and agency stakeholders.
  • Leverage AI tools to optimize data conversion processes and improve accuracy.
  • Generate reusable artifacts (templates, scripts, configurations) to improve conversion platform.
  • Partner with internal teams and agencies to make public safety data accessible and actionable.
  • Maintain high standards of data quality and client satisfaction.

Skills

SQL
Python
Bash
GraphQL
Azure
SQL Server
Oracle
MySQL
PostgreSQL
REST
JSON
XML
YAML
API testing (Postman)
Java
Communications

Education

Bachelor's Degree in technical/quantitative field
Graduate of coding boot camp
5+ years technical experience in related field

Tools

SQL Server
Oracle
MySQL
PostgreSQL

Job description

Axon is hiring a Data Solutions Engineer II, Data Conversion in a hybrid role with up to 30% travel. You will architect and deliver end-to-end data conversion from legacy systems to Axon's platform, ensuring quality and client satisfaction.

You will work with client teams and internal groups to scopes, transform, and validate data deliveries while maintaining autonomy and strong collaboration. You will travel to client sites, lead data discovery sessions, and continuously improve conversion

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