Enterprise Data Architect

5 days ago

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EcoVadis

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Responsible Sourcing • Corporate Social Responsibility • Sustainability • Supply Chain • Sustainable Procurement

1001 - 5000

💰 Secondary Market on 2022-11

Description

• Part of the Enterprise Architecture team supporting data-focused teams • Responsible for strategic planning, stakeholder guidance, enabling data as a product • Involve in architecture governance, developing standards, and continuous improvement

Requirements

• Very good knowledge of data platforms in general, i.e. data warehouses, data lakes, lakehouses, BI tools, embedded analytics solutions • Expertize in multi-domain analytical architectures, i.e. data mesh, medallion architecture, self-service analytics & BI • Specific experience with Databricks is a must • Experience with enterprise data models design, knowledge of various data modeling patterns, data engineering practices, data management standards i.e. DAMA • At least 5 years focusing on architecture (any of: data architecture, solution architecture, enterprise architecture) • Broad understanding of technical aspects of data integration, including data catalogs, data quality, solution maintainability, performance and security • Practical experience with concepts such as MDM, RDM, CDP, ETL, ELT, rETL, SQL, noSQL, near-real time analytics • Approach going beyond only technical components of architecture, but rather including people - process - technology as a whole • Cloud expertise: Hands-on experience with cloud-native architectures and services is a must, experience with Azure services would be a plus • Experience with all stages of SDLC - from building vision & strategy, through solution design, vendor selection process in some projects, technical design, leading workshops, assisting implementation teams & troubleshooting issues and driving solution adoption • Good stakeholder management skills; proficiency in verbal and written communication; facilitation skills • Pragmatic approach to governance & application portfolio rationalization • Data Compliance and Ethics:data compliance frameworks (e.g., GDPR, CCPA, SOX) and ethical considerations in data usage and AI/ML model deployment • Must be a team player, but with a high degree of self-organization • Ability to mentor and guide teams, fostering a culture of technical excellence and innovation. • Relevant certifications (i.e. CDMP/DAMA, TOGAF, CIPP) would be a plus

Benefits

• Casual and very friendly work environment • Hybrid work organization (from the office or from home) • Home office allowance program • IT equipment allowance • Opportunity to work in a truly international atmosphere • Base salary + variable compensation plan • Meals and Transportation Vouchers (Cobee card) • Health, Wellness, and Dental Benefits • Life & Accident Insurance • Unlimited and completely confidential sessions with psychologists and online well-being programs. • Employee referral bonus policy • Paid employee volunteer day • Paid moving day (1/year) • 90 days Working from anywhere policy • Virtual and in-person team-building events