Data Architect

Job Title: Data

Location: Remote

Employment Type: Full-Time

Reports to: Lead Data Strategist

About Client / Project:

Client is a specialist data strategy and AI consultancy that empowers

businesses to unlock tangible value from their data assets. We specialize in developing

comprehensive data strategies tailored to address core business and operational challenges.

By combining strategic advisory with hands-on implementation, we ensure data becomes a true

driver of business growth, operational efficiency, and competitive advantage for our clients.

As a solutions-focused and forward-thinking consultancy, we help organizations transform their

data capabilities using modern technology, reduce costs, and accelerate business growth by

aligning every initiative directly with our clients core business objectives.

Role Overview

We are seeking a highly experienced Data Architect to lead the design and implementation of

scalable data architectures for global clients across industries. You will define enterprise-grade

data platforms leveraging cloud-native technologies and modern data frameworks.

Key Responsibilities

• Design and implement cloud-based data architectures (GCP, AWS, Azure, Snowflake,

Redshift, Databricks, or Hadoop)• Develop conceptual, logical, and physical data models

• Define data flows, ETL/ELT pipelines, and ingestion strategies
• Design and maintain data catalogs, metadata, and domain structures
• Establish data architecture standards, reference models, and blueprints
• Oversee data lineage, traceability, and audit readiness
• Guide integration of AI/ML pipelines and analytics solutions
• Ensure data privacy, protection, and compliance (e.g., GDPR, HIPAA)
• Collaborate closely with Engineers, Analysts, and Strategists

Required Skills & Qualifications

• 8+ years of experience in data architecture or enterprise data platform roles
• Deep experience with at least two major cloud platforms (AWS, Azure, GCP)
• Proven hands-on work with modern data platforms: Snowflake, Databricks, Redshift,

Hadoop

• Strong understanding of data warehousing, data lakes, lakehouse architecture
• Advanced proficiency in SQL, Python, Spark, and/or Scala
• Experience with data cataloging and metadata tools (e.g., Informatica, Collibra, Alation)
• Knowledge of data governance frameworks and regulatory compliance
• Strong documentation, stakeholder communication, and architectural planning skills
• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)