Lead Data Architect

The Company:
Hexagon is a global leader in digital reality solutions, combining sensor, software, and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality, and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications.

Our technologies are shaping production and people-related ecosystems to become increasingly connected and autonomous - ensuring a scalable, sustainable future.

Hexagon (Nasdaq Stockholm: HEXA B) has approximately 21,000 employees in 50 countries and net sales of approximately 4.6bn USD. Learn more at and follow

Purpose of Position:
Hexagon is seeking a capable Enterprise Data Architect with competencies across information strategy, modern data architecture, data visualization and data science to design and develop data platform solutions. The person in this role will use leading data engineering practices to architect, design and develop data/analytic platform (e.g., data warehouse, data lake, lakehouse pattern) that are used to produce analytic products, including reports, dashboards, ML models among others.

Major Areas of Responsibility:
Enterprise Architecture:
Define technical architectural design to deliver business solution requirements
Ensures optimal decisions have been made regarding analysis, design, and implementation
Maintain deep technical knowledge of application functionality, configuration and integration
Lead design of application integration platform, automation and artificial intelligence

Solutions Development:
Design and oversee end-to-end solutions that provide frameworks, interfaces, and services
Lead technical development team including oversight of all work products and schedule
Define and implement agile development and continuous integration processes
Act as intersection between technical and business analyst team in executive communication
Partner with Business Architecture and IT teams to ensure successful integration of data architecture solutions with existing systems and applications

Data Architecture:
Designs the technical information architecture (i.e. ETL, DW, DB, DM, DQ, MDM).
Designs an information management model to align data with business reporting objectives
Oversees the standardization of data definitions; develops logical and physical data models
Oversees configuration environment, performance analysis and data quality audits

Business Intelligence & Analytics:
Support development of self-service business intelligence and reporting platform
Create automation, and improve overall reporting processes across functions
Design, build, integrate and manage solutions used to create interactive business models
Standardize templates, forms and workflows for stakeholder input into planning models

Knowledge & Experience Required:
Education / Credentials
Bachelor's degree in computer science, Management Information Systems or Engineering
5 - 7 years professional experience in data architecture and modeling
3 - 5 years' professional experience in a Project Based Environment
3 - 5 years' professional experience developing relational databases, data warehousing, data lake and Lakehouse solutions
2 - 4 years' professional experience in Enterprise Architecture
Expert level SQL and scripting skills / knowledge of other common programming languages (Python)
Strong project management and technical document writing capabilities
Must be passionate about providing leading best practice solutions for stakeholders
Advanced predictive programming language knowledge (i.e. Python, R, etc.)
Experience with the following systems / applications:
DW: Snowflake, Databricks, Microsoft Azure SQL DW / DB, SAP BW
ETL/ELT: Informatica Cloud Integration, dbt (data build tool), Azure Data Factory, Spark, Airflow
BI/BA: Tableau, PowerBI
DM: Anaplan, Host Analytics, Adaptive Insights
ERP: (GL, AP, AR, CO, etc.)
Business Applications: Salesforce, SharePoint, Replicon, Certify, JIRA

Critical Knowledge, Skills, and Abilities:
Experience of building and maintaining applications in a multiplatform environment
Understanding of software development life cycle and relational database concepts
High degree of business acumen to solve problems through technology enablement
Strong technical and analytical competencies to bridge business and IT functions
Knowledge of enterprise resource planning, business applications and BI systems
Continuous improvement attitude with ability and confidence to make recommendations
Ability to quickly synthesize disparate data and provide actionable information
Highly responsive, leveraging ability to multi-task, work efficiently and meet tight deadlines
Energetic with a proven ability to work autonomously and quickly adapt to change
Strong written and verbal communication skills with confidence and executive presence

Travel Requirements:
Ability to travel up to 10 - 25% annually

Hexagon is an Equal Opportunity Employer. We prohibit discrimination against any job applicant based on protected characteristics.