Azure Data Architect/Team Lead
- Source: Naukri
- Tata Consultancy Services
- On-site
- Bengaluru
- Full-Time
- Senior
Job Description
Role & responsibilities: Azure Data Architect/Team Lead
Required Technical Skill Set
Azure Data Platform (ADF, ADLS, Synapse, Fabric, Databricks), SQL, Data Warehousing
Desired Experience Range
12-15years (3+ Years Azure Data platform)
Location of Requirement :Pan India
Desired Competencies (Technical/Behavioral Competency)
- 12+ years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on Azure data platform covering ADF, ADLS, Synapse, Microsoft Fabric, databricks etc.
- At least one End-to-end Azure data platform implementation is a must covering all aspects including architecture, design, data engineering, data visualization and data governance (specifically data quality and lineage).
- Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts.
- Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement.
- Significant experience with data migrations and development, design, Operational Data Stores, Enterprise Data Warehouses and Data Marts.
- Experience with cloud ETL and ELT in one of the tools like DBT/ADF or Matillion or any other ELT tool and exposure to Bigdata ecosystem (Hadoop).
- Expertise with at least one of the Traditional data warehouses solutions on Oracle, Teradata, and Microsoft SQL server.
- Excellent communication skills to liaise with Business & IT stakeholders.
- Expertise in planning execution of a project and efforts estimation.
- Understanding of Data Vault, data mesh and data fabric architecture patterns.
- Exposure to working in Agile ways of working.
- Azure data warehouse
- Data migration
- Data modeling
- Data governance
- Communication
Good-to-Have :
- Python
- PySpark
- DevOps
- BFSI domain - Banking and Financial Services business domains
Skills
- microsoft-azure
- azure-synapse
- azure-databricks
- databricks
- microsoft-fabric
- dbt
- matillion
- Hadoop
- apache-hadoop
- oracle
- teradata
- vault
- Python
- pyspark
