Recru · 1 day ago
Data Architect
Recru is looking for a Data Architect to shape their new data warehouse and business intelligence environments. This role will focus on designing, evolving, and governing enterprise data architecture to support data-driven decision-making across the organization.
Responsibilities
Define enterprise data models, integration patterns, and metadata management standards
Architect and oversee data pipelines, data warehouses, and data lakehouse environments (BigQuery and SAP BW/4HANA preferred)
Establish data governance, lineage, and quality frameworks
Partner with IT and business stakeholders to ensure data consistency, security, and performance across business units
Guide data migration and cloud modernization strategies (e.g., from legacy BW to cloud-native analytics)
Utilizes data mining techniques and develops data models to assist in the visualization and interpretation of data
Partner with business leads to fulfill analytic and reporting requests as the domain data resource reference; you'll assist in creating and supporting a self-service style analytics platform among stakeholders
Enhance our capability to analyze and 'make sense' of large sets of data and translate findings in a visually appealing manner that tell a story and help make better data-driven decisions
Identify opportunities for process improvement and continue maintaining awareness and applicability of new and emerging BI tools and processes
Develops standard or custom reports, queries, or dashboards that access and consolidate information from a variety of data sources and provides ongoing support for data users
Qualification
Required
Bachelor's degree in Data Science, Information systems, or related field
Seven years hands on experience in a business environment with 5+ years specifically in data architecture and governance leadership
Proven track record of building an enterprise data platform
A proven ability to use data, analytics, and business knowledge to solve business problems
Enterprise analytics stack experience
Data engineering and architecture languages/tools: Python, Spark, dbt, ETL/ELT frameworks, API data integration, orchestration (Airflow, ADF)
A strong understanding of best practices in BW/BI data modeling
Advanced skills in Power BI or similar software
Experience building and defining reports
Advanced SQL and Excel Knowledge
Must have knowledge of SAP data structure
Preferred
Experience with statistical tools and predictive analytics is highly desirable
Knowledge of Cloud Analytics