Strategic Data Visionary

2 weeks ago

Varanasi, Uttar Pradesh, India beBeeDataArchitecture Full time ₹ 1,80,00,000 - ₹ 2,02,00,000
Senior Data Architect Job Description

We are seeking a seasoned Senior Data Architect to join our team.

  1. Job Summary:
  2. We are looking for an experienced Senior Data Architect to design and implement data strategies, architectures, and solutions that drive business growth.

Key Responsibilities:

  • Design and develop end-to-end data architecture solutions from concept to delivery.
  • Develop and maintain conceptual, logical, and physical data models for analytics solutions.
  • Ensure industry-accepted data architecture principles, standards, guidelines, and concepts are integrated with those of allied disciplines.
  • Drive the design, sizing, setup, etc. of Azure environments and related services.
  • Provide mentoring on data architecture design and requirements to development and business teams.
  • Reviews solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources, and integration of multiple systems and technology.
  • Advising on new technology trends and possible adoption to maintain competitive advantage.
  • Participate in pre-sales activities and publish thought leaderships.
  • Work closely with the founders to drive the technology strategy for the organisation.
  • Help and lead technology team recruitments in various areas of data analytics.

Requirements:

  • Demonstrated experience delivering multiple data solutions.
  • Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies.
  • Demonstrated in-depth skills with SQL Server, Azure Synapse, Azure Databricks, HDInsights, Azure Data Lake with the ability to configure and administrate all aspects of SQL Server.
  • Demonstrated experience with different data models like normalised, de-normalized, stars, and snowflake models. Worked with transactional, temporal, time series, and structured and unstructured data.
  • Data Quality Management (Microsoft DQS and other data quality and governance tools) and Data Architecture standardization experience.
  • Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).
  • Advanced study / knowledge in the field of computer science or software engineering along with advanced knowledge of software development and methodologies (Microsoft development lifecycle including OOP principles, Visual Studio, SDKs, PowerShell, CLI).
  • Familiarity with the principles and practices involved in development and maintenance of software solutions and architectures and in-service delivery (Microsoft and Azure DevOps. Azure Automation).
  • Strong technical background and remains evergreen with technology and industry development.

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