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Technology Data Architect

Job in Stamford, Fairfield County, Connecticut, 06925, USA
Listing for: Dhaka Technology Limited
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Dhaka Technologies Limited Company | Contract

Stamford, United States | Posted on 02/26/2026

Dhaka Technologies Limited is seeking a highly skilled Technology Data Architect to support a large-scale enterprise data modernization initiative for a valued client.

Thisrole will lead the design and implementation strategy for a centralized data warehouse platform that consolidates departmental datasets through structured

Extract, Transform, Load (ETL) processes. The selected professional will develop a scalable architecture roadmap, deliver a proof of concept, and establish governance frameworks to enable secure, AI-ready, data-driven decision-making.

Position Overview

The Technology Data Architect will assess the current data ecosystem and define afuture-state architecture capable of integrating multiple departmental data sources into a unified platform.

Thisrole requires expertise in enterprise data modeling, ETL engineering, cloud andhybrid architectures, and governance frameworks. The architect will workcross-functionally with Engineering, Public Safety, Data Analytics, Operations,and Technology stakeholders to ensure technical alignment and long-term scalability.

Key Responsibilities

Enterprise Data Strategy & Architecture

  • Assess current data architecture, platforms, and interdepartmental data flows.
  • Designa secure and scalable target-state architecture (cloud, hybrid, oron-premises).
  • Develop

    AI-ready architecture frameworks supporting Business Intelligence (BI) and Machine Learning (ML) initiatives.
  • Define enterprise data models, metadata standards, and integration patterns.

ETL& Data Integration Framework

  • Architect structured ETL pipelines to consolidate departmental datasets into acentralized data warehouse.
  • Develop and deliver a proof of concept integrating at least two departments.
  • Recommend appropriate tools, technologies, and implementation best practices.

Governance& Security Alignment

  • Establish data governance standards and data lifecycle management processes.
  • Integrate security and compliance considerations into architectural design.
  • Define access control models and data classification standards.

Stakeholder Engagement & Documentation

  • Conduct structured interviews with data owners and custodians across departments.
  • Translate business requirements into technical architecture solutions.
  • Provide executive-ready architecture diagrams and technical documentation.
  • Developa phased implementation roadmap with clearly defined milestones.
  • Deliver final architecture documentation and knowledge transfer sessions.
  • Enterprise data architecture standards and design principles
  • Technology and tooling recommendations
  • Implementationroadmap with milestones
  • Final architecture documentation and structured knowledge transfer
Requirements
Minimum Qualifications
  • 7+years of progressive experience as a Data Architect or Technology Architect.
  • Demonstrated expertise in ETL architecture design and enterprise data warehouse implementation.
  • Strong experience with modern data platforms, including:
    Cloud environments (AWS,Azure, GCP), Data lakes and enterprise data warehouses, Hybrid data infrastructures
  • Proven experience with data governance, security, and compliance frameworks.
  • Strong analytical and system design capabilities.
  • Excellent stakeholder engagement and communication skills.
Preferred Qualifications
  • Industry certifications such as: AWS or Azure Data Architect certifications, TOGAFor enterprise architecture certifications, Certified Data Management Professional (CDMP)
  • Experience supporting public-sector or regulated environments.
  • Demonstrated case studies of enterprise data warehouse implementation.
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