Senior Data Solution Architect

We are in search of a Senior Data Solution Architect to spearhead data-driven projects that leverage scalable platforms, cutting-edge technologies, and machine-learning algorithms. By designing robust solutions, you will be a crucial part in generating value from data, all while driving our organization's digital transformation through data enablement and democratization.
Responsibilities
Address organization business goals and strategies using best practices in data-, solution-, enterprise- and business- architectures, along with software engineering expertise
Conduct architectural activities including business problem analysis, technology landscape identification, significant requirements identification, solution design, and artifact creation
Perform software engineering tasks such as coding and data model creation in primary technology stacks, comprehend code and data models for non-primary technology stacks, and apply software design patterns and practices
Build and manage data management environments on premise and in the cloud, addressing security, compliance, and regulatory concerns with automation, monitoring, orchestration, and data ingestion
Guide the implementation team in integrating and harmonizing data from various sources, building analytical products on the data platform, and managing data product life cycles efficiently
Provide data technology consulting services to help clients shape solution visions and make informed decisions under uncertainty
Requirements
10+ years of IT experience
5+ years in leadership roles
Extensive experience in requirements engineering, solution architecture, systems development, deployment, and maintenance
Knowledge in architecture, design patterns, and the technological landscape across at least 3 technology domains including Data Platforms, IoT, and ML
Profound knowledge of technology internals for at least 1 technology domain
Solid understanding of core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security, and operations
Experience in designing, implementing, deploying, troubleshooting, and re-platforming distributed systems both on-premises and in the Cloud
Structured knowledge of the entire architecture design process including technology selection, estimation, proposal verification, and documentation
Background in all phases of the software development life cycle using various development methodologies and best practices
High level of organization and attention to detail
Competency in effective communication
Fluency in English (B2 level or higher)
Nice to have
Familiarity with CI/CD and infrastructure automation
Flexibility to adapt to evolving technologies and methodologies within data management
Capability to drive operations focusing on scaling and cost-efficiency
Qualifications in advanced data security and privacy practices
Understanding of metadata management and semantic layering within data platforms