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Data Architect
Skills
DevopsDatabasesHands-On TechnicalStorage OptimizationMicrosoft FabricAzure Data FactorySynapse Pipelines
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience in Azure data architecture analytics engineering or solution development
- Expertise in Microsoft Fabric Synapse Data Factory Databricks and Power BI
- Proficiency in SQL Python and PySpark for data modeling and transformation
- Proven ability to act as a technical SME in client and internal settings
- Strong communication and collaboration skills across cross-functional teams
- Experience in data modeling and ETL design
- Experience with Hadoop Kafka and Spark
- Familiarity with Azure AWS GCP Snowflake DynamoDB Redshift and BigQuery
- Proficiency in SQL and NoSQL databases including PostgreSQL MySQL and MongoDB
- Understanding of data governance security and compliance standards
Nice to have
- Strategic thinker
- Cross-functional collaborator
- Cloud-savvy
- Analytical mindset
- Detail-oriented
Day to day
- Serve as a subject matter expert across Microsoft Fabric and Azure data platforms for both client solutions and internal architecture needs.
- Design secure scalable cloud-native data architectures and translate business needs into practical blueprints.
- Support solution planning implementation guidance governance performance tuning and reusable pattern development.
- Advise stakeholders engineers and consultants while contributing hands-on to ingestion transformation modeling and BI strategy.
