Senior Data Architect, Cape Town

We are seeking a highly skilled and strategic

Senior Data Architect

to design, build, and optimise scalable data architectures that support advanced analytics, reporting, and business intelligence initiatives. This role is critical in shaping the organisation’s data strategy, ensuring data quality, governance, and accessibility across the enterprise.

Key Responsibilities

Design and implement

enterprise-level data architecture

aligned with business strategy

Define and maintain

data models

(conceptual, logical, and physical)

Lead the development of

data warehouses, data lakes, and modern data platforms

Establish and enforce

data governance, standards, and best practices

Ensure

data quality, integrity, security, and compliance

across systems

Collaborate with business stakeholders to translate requirements into

scalable data solutions

Guide and mentor data engineers, analysts, and BI teams

Evaluate and implement

new data technologies and tools

Optimise data pipelines and architecture for

performance and cost-efficiency

Drive

cloud data architecture initiatives

(AWS, Azure, or GCP)

Required Skills&Experience

8–12+ years’ experience in

data architecture, data engineering, or related fields

Strong expertise in

data modelling techniques

(e.g., Kimball, Inmon)

Proven experience with

data warehousing and big data platforms

Advanced SQL skills and experience with

ETL/ELT processes

Hands‑on experience with

cloud platforms

(Azure, AWS, or GCP)

Experience with tools such as

Snowflake, Databricks, Hadoop, or similar

Strong understanding of

data governance and data security frameworks

Experience designing

real‑time and batch data processing systems

Ability to work with large, complex datasets in high‑volume environments

Preferred Qualifications

Bachelor’s or Master’s degree in

Computer Science, Information Systems, or related field

Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Data Engineer)

Experience in

financial services / healthcare / insurance

(depending on industry)

Exposure to

machine learning data pipelines

is advantageous

Strong

strategic thinking and problem‑solving

ability

Excellent

stakeholder engagement and communication skills

Leadership and mentoring capability

Ability to operate in

complex, fast‑paced environments

High attention to detail with a focus on

data accuracy and governance

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