Whiteshield: Data Architect at Whiteshield
Dubai, Dubai, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data architecture, Azure Data Factory, Databricks, Snowflake, Spark, Python, SQL, Data governance, ETL, Change Data Capture, Data modeling, Cloud computing, Terraform, Docker, Power BI, Tableau

Industry

Public Policy Offices

Description
ABOUT US | Whiteshield is a global advisory firm operating at the intersection of strategy, public policy, and digital transformation. We partner with governments and leading enterprises to design and deliver initiatives that drive economic competitiveness, digital enablement, and long-term growth. Our work combines strategic advisory with hands-on execution. We support senior decision-makers in navigating complex regulatory, economic, and technological environments, translating ambition into structured programmes, delivery frameworks, and measurable outcomes. Unlike traditional consultancies that focus solely on recommendations, we remain engaged through implementation; ensuring transformation is not only designed but realized. WHERE YOU FIT IN | We’re building data platforms and architectures that sit at the core of national and enterprise transformation programmes, powering decision-making, AI systems, and digital services at scale. Data is not a byproduct here; it is foundational. From designing interoperable data ecosystems across institutions to enabling AI-ready infrastructure, we work at the intersection of engineering, analytics, and strategy. We’re looking for a Data Architect who can operate across both vision and execution. You will define how data is structured, governed, and activated; ensuring it is reliable, scalable, and ready to drive real-world impact. You’re comfortable working in complex, multi-stakeholder environments, translating ambiguous requirements into clear data models, architectures, and standards. You understand how modern data platforms support AI, analytics, and operational systems and how to design them accordingly. You’ll work closely with engineers, analysts, policymakers, and client stakeholders to build data ecosystems that are not only technically sound, but also usable, trusted, and aligned to strategic outcomes. WHAT YOU WILL DO | Design and implement scalable, secure, and high-performing data architectures across cloud and hybrid environments Define enterprise data models, standards, and governance frameworks to ensure consistency and interoperability Architect modern data platforms (data lakes, warehouses, lakehouses) to support analytics, AI, and operational use cases Lead client engagements as a trusted advisor on data strategy, architecture, and platform design Translate business and policy objectives into structured data solutions and pipelines Establish data governance practices including data quality, lineage, cataloguing, and access control Design data integration strategies across multiple systems, APIs, and external data sources Enable AI and advanced analytics use cases by ensuring data is structured, accessible, and production-ready Collaborate with engineering teams to implement pipelines, orchestration, and real-time/streaming architectures Balance long-term architecture vision with rapid delivery in dynamic environments OUR CORE TECH STACK | Data Platforms: Azure Data Factory, Synapse, Databricks, BigQuery, Snowflake Databases: Postgres, MSSQL, MongoDB, Elasticsearch Processing: Spark, Python, SQL Cloud: Azure, AWS, or GCP Orchestration: Airflow, Prefect, or similar DevOps: CI/CD, Docker, Terraform Analytics & BI: Power BI, Tableau, Looker WHAT YOU’LL BRING | 7+ years data architecture with deep Oracle and SQL Server expertise Informatica PowerCenter (or equivalent ETL platform) Change Data Capture (CDC) for incremental and near real-time sync Complex source-to-target mapping across large schema landscapes Bidirectional sync with conflict resolution strategies Data quality profiling, validation, and reconciliation frameworks Data governance, lineage tracking, and metadata cataloguing Good to have: Domain-driven data modelling (database-per-service patterns) Liquibase or equivalent schema change management Physical schema design from logical/conceptual model WHAT WE VALUE | Curiosity and action: You take initiative and explore new ideas Empathy and clarity: You’re a strong communicator and collaborator Delivery and impact: You’re focused on outcomes, not just outputs Passion and adaptability: You bring energy, depth, and flexibility to your work Meaningful impact Your work helps shape products used at national scale - enabling people to access services, opportunities, and support that make a real difference in everyday lives. Creative freedom You will have room to explore ideas, test approaches, and raise the bar for design quality - even in complex, regulated environments. We value thoughtful experimentation and encourage new ways of working. High-calibre collaboration You’ll work alongside talented people across policy, data, design, and technology - bringing different perspectives together to solve complex problems well. Flexibility that works We operate in an outcome-driven, remote-friendly way that respects individual working styles. Trust, autonomy, and balance are core to how we work. Supportive culture You will join a team that values respect, inclusion, and wellbeing - where people are encouraged to do their best work without burning out.
Responsibilities
Design and implement scalable, secure, and high-performing data architectures across cloud and hybrid environments. Lead client engagements as a trusted advisor to translate business and policy objectives into structured data solutions and governance frameworks.
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