[C3C] Senior Data Architect
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Project the aim youll have
We are a team that develops and maintains analytical solutions for various verticals (finance telco media retail manufacturing & others). We are building a modern data ecosystem based on a broad range of technologies and the cloud services.
Position how youll contribute
- Define the enterprise data architecture vision aligned with business strategy and digital transformation goals.
- Design conceptual logical and physical data models for domain-driven systems.
- Establish target-state architectures for data platforms (cloud hybrid on-prem).
- Evaluate and select core technologies taking into consideration specific customer needs priorities and current architecture
- Architect scalable data pipelines (ETL/ELT).
- Define integration standards (APIs CDC event-driven architectures).
- Optimize data lake lakehouse and warehouse architectures.
- Design high availability disaster recovery and backup strategies.
- Enforce security controls: encryption IAM row-level security masking.
- Evaluate emerging paradigms (data mesh lakehouse streaming-first architectures).
- Assess tools for orchestration and transformation (e.g. Apache Airflow dbt).
- Prototype proof-of-concept architectures.
- Ensure architectural flexibility for AI advanced analytics and real-time insights.
Qualifications :
Expectations the experience you need
- Experience in data modeling (conceptual logical physical) preferably in a large organization or within complex data ecosystems.
- Practical knowledge of tools and methodologies such as ER UML IDEF1X Data Vault 3NF Kimball/Inmon.
- Ability to work with data catalogs and metadata management tools (e.g. DataHub Collibra Alation Atlan).
- Knowledge of SQL and relational data models.
- Experience working with database systems and data architecture in a cloud environment
- Ability to work with engineering and analytics teams to translate business needs into data models.
- Understanding of data security availability and control principles.
- Good command of English (reading documentation community discussions).
Additional skills the edge you have
- Experience in Data Governance Data Quality Master Data and Metadata Management projects.
- Knowledge of concepts and technologies related to the semantic data layer: ontologies RDF OWL GraphQL dbt Semantic Layer Semantic Kernel.
- Knowledge of Python for automation model validation and API integrations.
- Knowledge of event-driven data architecture.
- Experience in creating and maintaining architectural documentation.
Additional Information :
Our offer professional development personal growth
- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
Remote Work :
Yes
Employment Type :
Full-time
About Company
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities these are a few words that describe an average day for us. Building cross-functional engineering te ... View more
