The Senior Data Architect designs and implements data architecture solutions, leveraging modern platforms and methodologies to enhance data management, modeling, and integration across applications and stakeholders.
- More than 12+ years of IT experience
- Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery – experience with one or more)
- Deep knowledge of data modeling, data warehousing, and lakehouse patterns
- Hands‑on experience with at least one modern data platform:
- Microsoft Fabric and/or Databricks strongly preferred
- Experience integrating data platforms with applications using APIs, services, or event‑driven patterns
- Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
- Strong communication skills with the ability to engage both technical and business stakeholders
- Experience working in client‑facing or consulting environments
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Or, equivalent experience
Key Skills:
Data Architect
- Data warehouse
- Lakehouse (Databricks or Microsoft Fabric)
- Datalake
- ADF/Synapse/Data Pipelines(ETL/ELT)
- Strong SQL and Pyspark knowledge
- CI/CD Experience
Top Skills
BigQuery
Ci/Cd
Data Factory
Databricks
Lakehouse
Microsoft Fabric
Onelake
Power BI
Pyspark
Snowflake
SQL
Synapse
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