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Data Architect Lead

BlackStone eIT

Responsibilities

  • secure, and high-performing data platforms. Act as the technical authority on data modeling,
  • integration, governance, and infrastructure, while leading a team of data architects/engineers and
  • guiding cross-functional stakeholders on data-driven initiatives.
  • Define and own the enterprise data architecture strategy, standards, and roadmap, aligned with business objectives.
  • Design scalable data models (conceptual, logical, physical) across OLTP, OLAP, and data lake/lakehouse environments.
  • Architect data pipelines, ETL/ELT processes, and integration patterns across source systems, data warehouses and downstream applications.
  • Evaluate and select appropriate data platforms, tools, and technologies (cloud data warehouses, lakehouses, streaming platforms).
  • Define and enforce data governance, data quality, master data management (MDM), and metadata management frameworks.
  • Partner with business stakeholders, product owners, and engineering teams to translate business requirements into data architecture solutions.
  • Collaborate with BI/Analytics, Data Science, and application teams to ensure data is structured for reporting, analytics and AI/ML use cases.
  • Oversee data migration strategies, including legacy system decommissioning and cloud migration projects.
  • Support integration projects, ensuring consistent and reliable data flow across systems (ERP, CRM, third-party applications).
  • Participate in architecture review boards and provide technical sign-off on major data initiatives.
  • Establish data quality standards, monitoring, and remediation processes.
  • Define and maintain data catalogs, data lineage, and metadata repositories.
  • Ensure architecture decisions support scalability, performance, security, and cost optimization.

Requirements

  • 8-10 years of experience in data architecture, data engineering, or related roles, with at least 3-5 years in a lead/architect capacity.
  • Strong hands-on experience designing data models (dimensional modeling, star/snowflake schemas, normalized/denormalized models).
  • Deep expertise in at least one major cloud data platform (AWS Redshift/Glue, Azure Synapse/Data Factory, GCP BigQuery/Dataflow, Snowflake, Databricks).
  • Strong SQL skills and experience with ETL/ELT tools (Informatica, Talend, dbt, Azure Data Factory, etc.).
  • Experience with data warehousing, data lakes, and/or lakehouse architectures.
  • Solid understanding of data governance, MDM, data quality, and metadata management principles.
  • Experience with API-based and event-driven integration (Kafka, REST, OIC, etc.).
  • Strong stakeholder management and ability to translate business needs into technical architecture.

Experience leading and mentoring technical teams. Desirable

  • Experience with BI/reporting tools (Power BI, Tableau, OBIEE, Looker).
  • Programming experience in Python or Scala for data engineering tasks.
  • Strategic thinking, strong technical depth combined with business acumen, leadership and
  • mentoring ability, structured problem solving, clear communication with both technical and non

Data Architect Lead

BlackStone eIT · Amman, Jordan · Full-time · Posted 2026-10-06

Role Purpose

Own the end-to-end data architecture strategy for the organization, leading the design of scalable,

Technical Leadership

  • Lead and mentor a team of data architects, data engineers and/or analysts.
  • Review and approve data architecture designs, data models, and technical solutions proposed by the team.
  • Set technical direction on data security, privacy, access control, and compliance (e.g. GDPR, data residency requirements).
  • Drive adoption of best practices in data modeling, naming conventions, version control, and documentation.

Requirements

  • Familiarity with AI/ML data pipeline requirements and feature stores.
  • Experience with data security/compliance frameworks (GDPR, HIPAA, data residency).
  • Relevant certifications (AWS/Azure/GCP Data Architect, Snowflake, Databricks, DAMA/CDMP).
  • Experience in a specific industry vertical relevant to the hiring organization (Finance, Healthcare, Government, Retail).

Key Competencies

technical stakeholders.

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