Azure Data Architect

4 weeks ago

pune, India EXL Full time

As a Software Technical Architect in our Big Data Engineering team, you will play a crucial role in designing, developing, and maintaining complex data solutions. You will collaborate with cross-functional teams to define and implement scalable, high-performance data architectures. Your primary responsibilities will include data modelling, leading software design and development efforts, and ensuring the reliability, scalability, and performance of our big data infrastructure.


Job Description:


  • 8+ years of proven experience as a Software Technical Architect in Big Data Engineering .
  • Strong understanding of Data Warehousing, Data Modelling, Cloud and ETL concepts
  • Experience with Azure Cloud technologies, including Azure Data Factory, Azure Data Lake Storage, Data bricks, Event Hub, Azure Monitor and Azure Synapse Analytics
  • Proficiency in Python, PySpark, Hadoop, and SQL.
  • Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
  • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.
  • Thorough understanding of Azure Cloud Infrastructure offerings.
  • Strong experience in common data warehouse modelling principles including Kimball, Inmon.
  • In-depth knowledge of big data technologies and ecosystems.
  • Excellent problem-solving skills and the ability to address complex technical challenges.
  • Strong communication and leadership skills.
  • Experience developing security models.


Must Have:


  • Strong understanding of Azure data platform – Azure Data Factory, Azure Data bricks, Synapse, Event Hubs, ADLS, Delta Files, Azure Monitor, Azure Security, Azure DevOps
  • Experience in developing NO SQL solutions using Azure Cosmos DB.
  • Good knowledge on setting up Data Governance in Azure
  • Hands on experience on Python Programming Language and excellent code debugging skills.
  • Excellent knowledge on SQL
  • Experience with data modelling, ETL, and data warehousing concepts and implementation
  • Strong customer engagement skills to understand customer needs for Analytics solutions fully.
  • Excellent communication and teamwork skills
  • Strong data analysis and analytical skills.
  • Experience in working in a fast-paced agile environment.
  • Strong problem solving and troubleshooting skills


Good to Have:


  • Experience with Power BI Reporting
  • Experience with Microsoft Purview
  • Experience on processing streaming data
  • Programming Languages – Java or Scala
  • Familiarity with other cloud platforms (e.g., AWS, GCP) is a plus.
  • Azure Architect Certification


Responsibilities:


  • Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.
  • Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.
  • Collaborate with project managers for project/sprint planning by estimating technical tasks and deliverables.
  • Data Modelling: Develop and maintain data models to represent our complex data structures, ensuring data accuracy, consistency, and efficiency.
  • Technical Leadership: Provide technical leadership and guidance to development teams, promoting best practices in software architecture and design.
  • Solution Design: Collaborate with stakeholders to define technical requirements and create solution designs that align with business goals and objectives.
  • Programming: Develop and maintain software components using Python, PySpark, and Hadoop to process and analyze large datasets efficiently.
  • Big Data Ecosystem: Work with various components of the Hadoop ecosystem, such as HDFS, Hive, and Spark, to build data pipelines and perform data transformations.
  • SQL Expertise: Utilize SQL for data querying, analysis, and optimization of database performance.
  • Performance Optimization: Identify and address performance bottlenecks, ensuring the system meets required throughput and latency targets.
  • Scalability: Architect scalable and highly available data solutions, considering both batch and real-time processing.
  • Documentation: Create and maintain comprehensive technical documentation to support the development and maintenance of data solutions.
  • Security and Compliance: Ensure that data solutions adhere to security and compliance standards, implementing necessary controls and encryption mechanisms.
  • Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
  • Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
  • Responsible to identify and resolve any performance issues.
  • Keep up to date with new technology development and implementation.
  • Participate in code review to make sure standards and best practices are met.
  • Take responsibility for estimating, planning, and managing all tasks and report on progress.

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