Data Architect/ Senior- Data Engineer

Posted on August 28, 2025

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Job Description

  • Data Architect/ Senior- Data Engineer
  • Job Requirements
  • Experience
  • 8 - 10 years
  • No. of Positions
  • 1
  • Duration
  • 3-6 months
  • Skills
  • Azure Data Ecosystem
  • ETL Development & Data Integration
  • Advanced SQL & Data Modeling
  • Data & Analytics Solution Architecture
  • Programming & Big Data Tools
  • Job Description
  • Responsibilities:
  • Design and drive end to end data and analytics solution architecture from concept to delivery
  • Design, develop, and support conceptual/logical/physical data models for analytics solutions.
  • Ensures that industry-accepted data architecture principles, standards, guidelines and concepts are integrated with those of allied disciplines and coordinated roll-out and adoption strategies are in place.
  • 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 the solution requirements and architecture to ensure selection of appropriate technology, efficient use ofresources 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 organization
  • Help and lead technology team recruitments in various areas of data analytics
  • Experience Needed:
  • 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, HD Insights, Azure Data Lake with the ability to configure and administrate all aspects of SQL Server.
  • Demonstrated experience with different data models like normalized, de- normalized, stars, and snowflake models. Worked with transactional, temporal, timeseries, 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).
  • Is familiar 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).
  • Has strong technical background and remains evergreen with technology and industry developments
  • Hands-on expertise and willingness to code in Spark, Python, SQL, ability to pick up new languages and tech on the go.
  • Job Type
  • Contract
  • Rate
  • ? 130,000 / Monthly
  • Work From
  • Remote

Required Skills

No specific skills listed.