Bangalore, Karnataka, India
Information Technology
Full-Time
Nihilent
Overview
Designation: Data Architect
Location: Pune
Experience: 10-15 years
Skills
Location: Pune
Experience: 10-15 years
Skills
- Azure Expertise: The architect should have experience in architecting large scale analytics solutions using native services such as Azure Synapse, Data Lake, Data Factory, HDInsight, Databricks, Azure Cognitive Services, Azure ML, Azure Event Hub.
- Architecture Creation: Assist with creation of a robust, sustainable architecture that supports requirements and provides for expansion with secured access.
- BFSI Experience: Experience in building/running large data environment for BFSI clients.
- Collaboration: Work with customers, end users, technical architects, and application designers to define the data requirements and data structure for BI/Analytic solutions.
- Data Modeling: Designs conceptual and logical models for the data lake, data warehouse, data mart, and semantic layer (data structure, storage, and integration). Lead the database analysis, design, and build effort.
- Communication: Communicates physical database designs to lead data architect/database administrator.
- Data Model Evolution: Evolves data models to meet new and changing business requirements.
- Business Analysis: Work with business analysts to identify and understand requirements and source data systems.
- Big Data Technologies: Expert in big data technologies on Azure/GCP.
- ETL Platforms: Experience with ETL platforms like ADF, Glue, Ab Initio, Informatica, Talend, Airflow.
- Data Visualization: Experience in data visualization tools like Tableau, Power BI, etc.
- Data Engineering & Management: Experience in a data engineering, metadata management, database modeling and development role.
- Streaming Data Handling: Strong experience in handling streaming data with Kafka.
- Data API Understanding: Understanding of Data APIs, Web services.
- Data Security: Experience in Data security and Data Archiving/Backup, Encryption and define the standard processes for same.
- DataOps/MLOps: Experience in setting up DataOps and MLOps.
- Database Design: Ensure that the database designs fulfill the requirements, including data volume, frequency, and long-term BI/Analytics growth requirements.
- Integration: Work with other architects to ensure that all components work together to meet objectives and performance goals as defined in the requirements.
- System Performance: Improve system performance by conducting tests, troubleshooting, and integrating new elements.
- Data Science Coordination: Coordinate with the Data Science Teams to identify future data needs and requirements and creating pipelines for them.
- Soft Skills: Soft skills such as communication, leading the team, taking ownership and accountability to successful engagement.
- Quality Management: Participate in quality management reviews.
- Customer Management: Managing customer expectation and business user interactions.
- Research and Development: Deliver key research (MVP, POC) with an efficient turn-around time to help make strong product decisions.
- Mentorship: Demonstrate key understanding and expertise on modern technologies, architecture, and design. Mentor the team to deliver modular, scalable, and high-performance code.
- Innovation: Be a change agent on key innovation and research to keep the product, team at the cutting edge of technical and product innovation.
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