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Hiring Azure Data Architects for Bangalore location. Please find the details below for your reference:
Position :Data Engineering Architect/Technical Architect
Job Summary
We are seeking an experienced and strategic Data Engineering Architect with over 13+ years of experience in designing, implementing, and managing enterprise-scale data platforms. The ideal candidate should possess deep expertise in Azure Databricks, Microsoft Fabric, Power BI, SQL, and modern cloud-based data architectures. In addition to technical leadership, the candidate should have strong client-facing experience, including account management, stakeholder engagement, solution consulting, and delivery governance.
Key Responsibilities
Solution Architecture & Technical Leadership
Data Engineering
Business Intelligence & Analytics
Client & Account Management
Leadership
Technical Skills
Location: Bangalore
Notice: immediate
Hybrid( 3 days a week)
Interested candidates can also share your profile to [Confidential Information]
Job ID: 152942375
Skills:
Spark SQL, Storm, Flume, Kafka, Impala, Mapreduce, Pig, Apache Nifi, Lambda Architecture, Rabbitmq, Hive, Linux, Big Query, Airflow, Hadoop v2, HDFS, Data Proc, Cloud Composer, data fusion, GCP cloud platforms, dbt, Data Flow
Skills:
containerization , Database Design, Tcp, Orchestration, Kafka, Data Modeling, Json, Avro, Cloud Architecture, Docker, Mulesoft, Data Quality, Http, Sql, Big Data Technologies, Xml, Data Warehousing, Kubernetes, Etl, Data governance principles, NiFi architecture and components, IBM Sterling, Data integration and management tools, Cloud platforms, Fabric
Skills:
data vault , data products , kimball , Metadata Management, Pyspark, Azure Databricks, ELT, Quality, Data Governance, Data Modelling, Power Bi, Azure Data Factory, Spark, Data Lake, Rest Apis, Etl, Purview, lineage, Google BigQuery, Security, SQL Warehouses, Lakehouse architectures, Data APIs, Unity Catalog, dimensional modelling, Dataplex, Databricks Delta Sharing
Skills:
snowflake , Adb, Adf, Power Bi, Pyspark, Kafka, Tableau, Sql, Spark Streaming, Databricks, Python, Azure SQL Data Lake, Synapse, Event Hubs, Microsoft Fabric, Azure Data Services
Skills:
Technical Architecture, Agentic AI Frameworks, Generative AI LLMs RAG, Cloud Platforms Azure AWS GCP, MLOps DevOps, Agile Scrum Delivery, Data Pipelines, AI Machine Learning