to lead the design, governance, and implementation of enterprise data architecture. The ideal candidate will have extensive background in data standards, governance, lakehouse/warehouse design, and alignment with national regulatory frameworks.
Key Responsibilities
Define and maintain
enterprise data architecture standards
, guidelines, and best practices for structured, semi-structured, and unstructured data.
Design
production-level data products
, preferably on
Microsoft Azure
.
Develop and optimize
data warehouses and data lakehouse platforms
using Databricks, Snowflake, BigQuery, or Redshift.
Implement end-to-end
data integration
, ETL/ELT pipelines, real-time streaming, and CDC frameworks.
Establish and maintain
data governance practices
, including:
Data catalog
Data lineage
Data classification
Data masking
Metadata standards
Ensure compliance with
national standards
such as:
NORA
NDMO
DGA / SDAIA standards and policies
Collaborate with cross-functional teams to ensure data quality, accessibility, and interoperability across the enterprise.
Stay updated with
AI/ML advancements
and modern technology trends and apply them within the data architecture landscape.
Support enterprise-wide architecture initiatives, reviews, and assessments in alignment with overall EA frameworks .
Requirements
Bachelor's degree in Computer Science, IT, or related field.
15+ years
of experience in Data Architecture, Data Governance, or Enterprise Architecture.
Strong knowledge of
TOGAF
, SDAIA/NDMO policies, and national data regulations.
Expert in
, encryption, RLS, access control, and data privacy best practices.
Excellent analytical, documentation, and communication skills.
Job Types: Full-time, Contract
Contract length: 12 months
Pay: ?30,000.00 - ?35,000.00 per month
Work Location: Remote
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