Data Architect

Posted 17 Days Ago
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Lahore, Punjab, PAK
In-Office
Expert/Leader
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Design and implement enterprise data architectures incorporating traditional systems and Big Data, enabling data-driven decisions within banking environments. Collaborate with engineering and analytics teams while ensuring compliance with regulations.
Summary Generated by Built In
Job Title: Data Architect

Experience: 9+ Years
Industry: Banking / Financial Services
Location:Pakistan
Employment Type: Full-Time

Job Summary

We are seeking an experienced Data Architect with a strong background in AI/ML and Big Data architectures to design, implement, and govern enterprise-wide data solutions. The ideal candidate will play a critical role in enabling data-driven decision-making, advanced analytics, and AI capabilities within a banking environment while ensuring compliance with regulatory and security standards.

Key Responsibilities
  • Design and implement enterprise data architecture across traditional systems, Big Data platforms, and cloud ecosystems.
  • Architect scalable data lakes, data warehouses, and lakehouse solutions supporting structured and unstructured data.
  • Define and manage data models, metadata frameworks, and data integration patterns for enterprise-wide use.
  • Build and optimize data pipelines for batch and real-time processing using technologies like Hadoop, Spark, and Kafka.
  • Enable AI/ML use cases by designing data platforms compatible with Python-based frameworks such as TensorFlow, PyTorch, and MLflow.
  • Lead cloud data architecture initiatives across AWS, Azure, and GCP, ensuring high availability, scalability, and cost efficiency.
  • Implement and enforce data governance, data quality, and data security frameworks using tools such as Collibra, Alation, and Apache Atlas.
  • Collaborate with cross-functional teams including data engineers, data scientists, business analysts, and IT teams.
  • Design and oversee ETL/ELT processes using tools like Informatica, Talend, and dbt.
  • Utilize orchestration frameworks such as Apache Airflow to automate and monitor workflows.
  • Ensure compliance with banking regulations, data privacy laws, and security standards.
  • Evaluate and recommend emerging technologies to enhance the organization’s data capabilities.
Required Skills & Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 9+ years of experience in data architecture, data engineering, or related roles, preferably in the banking or financial services industry.
  • Strong expertise in Big Data technologies: Hadoop, Spark, Kafka.
  • Hands-on experience with cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform.
  • Proficiency in data modeling (conceptual, logical, physical) and database design.
  • Experience with data warehousing and lakehouse architectures (Snowflake, Databricks).
  • Strong understanding of AI/ML data pipelines and frameworks (Python, TensorFlow, PyTorch).
  • Expertise in ETL/ELT tools and data pipeline orchestration.
  • Knowledge of data governance, metadata management, and data quality frameworks.
  • Familiarity with banking data domains (risk, compliance, fraud, customer analytics).
  • Excellent problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
  • Certifications in Cloud Platforms (AWS/Azure/GCP) or Data Architecture.
  • Experience with real-time streaming architectures.
  • Knowledge of regulatory frameworks such as Basel III, GDPR, or local banking compliance standards.
  • Exposure to Data Mesh or Data Fabric architectures.
  • Experience with API-based data integration and microservices architecture.
Key Competencies
  • Strategic Thinking
  • Data Governance & Compliance
  • Solution Architecture
  • Stakeholder Management
  • Innovation & Continuous Improvement
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The Company
Dubai
65 Employees
Year Founded: 2016

What We Do

Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.

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