Data Architect
Adaugat: 2 săptămâni în urmă
ADECCO RESURSE UMANE SRL
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The ideal candidate is comfortable engaging with business stakeholders, defining architectural blueprints, and being part of multidisciplinary delivery teams that turn those designs into working solutions.
Key Responsibilities
- Engage with clients to understand their business objectives, data landscape, and technology ecosystem
- Design and implement modern data architectures, covering ingestion, transformation, storage, and consumption, aligned with each client’s requirements and technology stack
- Act as the technical authority for data-related decisions within delivery teams, ensuring scalability, performance, and maintainability of implemented solutions
- Work hands-on in projects, collaborating closely with data engineers, data analysts, and cloud specialists to deliver end-to-end data solutions
- Provide technical leadership in setting up and optimizing data platforms in cloud and hybrid environments
- Guide clients on data governance, security, and compliance best practices
- Contribute to data architecture & engineering community of practice, sharing knowledge and helping evolve delivery standards, accelerators and reusable frameworks
Qualifications
- 7+ years of experience in data architecture, data engineering, or related roles
- Strong expertise in data modeling, data integration, and data pipeline design for analytical and operational workloads
- Proven experience with cloud-based data ecosystems, particularly in one or more of the following:
- Microsoft Azure (Data Lake, Synapse, Data Factory, Purview)
- Amazon Web Services (AWS) (S3, Redshift, Glue, Athena)
- Google Cloud Platform (GCP) (BigQuery, Dataflow, Pub/Sub)
- Practical experience with modern data platforms and tools such as Databricks, Snowflake, dbt, Apache Spark, or Airflow
- Strong hands-on knowledge of SQL and Python (or Scala) for data engineering tasks
- Familiarity with data governance frameworks, metadata management, and security-by-design principles
- Proven experience in client-facing environments; ability to translate business requirements into technical data solutions and effectively communicate with both business and technical stakeholders
- Experience leading technical delivery teams and mentoring data professionals.
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