Data Architect

undefined ago • All levels • Data Analysis

Job Summary

Job Description

We are looking for an inspiring and forward-thinking Data Architect to craft, evolve, and champion our enterprise data platform. You will play a pivotal role in empowering smarter decisions, accelerating innovation, and enabling AI-driven opportunities across the organisation. In this high-impact role, you will set the vision and lead the delivery of a modern, scalable, and trusted data architecture that not only meets today’s business needs but positions us for tomorrow’s breakthroughs. Your expertise will help teams unlock the full value of data — turning it into a competitive advantage.
Must have:
  • Shape and deliver an enterprise-wide data architecture strategy.
  • Define reference architectures, canonical data models, and integration patterns.
  • Curate and integrate cutting-edge modern data stack technologies.
  • Design, deliver, and optimise data pipelines, APIs, and real-time streaming frameworks.
  • Embed data quality, lineage, and metadata management.
  • Prepare and enrich enterprise data to unlock the potential of AI, ML, and predictive analytics.
  • Lead the rollout of data governance, compliance, and privacy frameworks.
  • Partner with security and compliance teams to build safe, accessible, and well-managed data environments.
  • Act as a strategic advisor to executives.
  • Work hand-in-hand with cross-functional teams to embed data-driven thinking.
  • Mentor colleagues, champion best practices, and foster an inclusive, high-energy culture of data excellence.
  • Proven experience in data architecture or engineering leadership.
  • Expertise in cloud-native data platforms (e.g., Snowflake, Databricks, BigQuery, Amazon Redshift).
  • Advanced data modeling skills (conceptual, logical, physical) across relational, NoSQL, and event-driven systems.
  • Hands-on proficiency with ETL/ELT tools (e.g., dbt, Fivetran, Matillion).
  • Hands-on proficiency with streaming technologies (e.g., Kafka, Kinesis, Pulsar).
  • Strong knowledge of data governance platforms (e.g., Collibra, Alation, Informatica).
  • Understanding of AI/ML data lifecycle management and operationalisation.
  • Exceptional communication skills.
Perks:
  • Impact that Matters: Your work will directly shape how we innovate, compete, and deliver value.
  • Innovation Every Day: Collaborate with a team that embraces experimentation, new technologies, and continuous improvement.
  • Inclusive Collaboration: Join a diverse, talented community that celebrates different perspectives and shared success.
  • Growth & Opportunity: Access to professional development, cutting-edge projects, and the freedom to bring bold ideas to life.

Job Details

Description

Position at Ness Digital Engineering

About the Role

We are looking for an inspiring and forward-thinking Data Architect to craft, evolve, and champion our enterprise data platform. You will play a pivotal role in empowering smarter decisions, accelerating innovation, and enabling AI-driven opportunities across the organisation.

In this high-impact role, you will set the vision and lead the delivery of a modern, scalable, and trusted data architecture that not only meets today’s business needs but positions us for tomorrow’s breakthroughs. Your expertise will help teams unlock the full value of data — turning it into a competitive advantage.

What You’ll Do

Lead the Data Vision

  • Shape and deliver an enterprise-wide data architecture strategy that fuels growth and innovation.
  • Define reference architectures, canonical data models, and integration patterns to create a consistent, reliable, and agile data foundation.
  • Curate and integrate cutting-edge modern data stack technologies to speed delivery and maximise value.

Create Transformational Solutions

  • Design, deliver, and optimise data pipelines, APIs, and real-time streaming frameworks that power business-critical insights.
  • Embed data quality, lineage, and metadata management into every solution for trusted and transparent data.
  • Prepare and enrich enterprise data to unlock the potential of AI, ML, and predictive analytics.

Champion Governance & Trust

  • Lead the rollout of data governance, compliance, and privacy frameworks that inspire confidence and meet global standards.
  • Partner with security and compliance teams to build safe, accessible, and well-managed data environments that enable innovation.

Collaborate, Inspire, and Mentor

  • Act as a strategic advisor to executives, connecting technical architecture with measurable business outcomes.
  • Work hand-in-hand with cross-functional teams to embed data-driven thinking into every decision.
  • Mentor colleagues, champion best practices, and foster an inclusive, high-energy culture of data excellence.

What You’ll Bring

  • Proven experience in data architecture or engineering leadership, delivering enterprise-scale solutions.
  • Expertise in cloud-native data platforms (e.g., Snowflake, Databricks, BigQuery, Amazon Redshift).
  • Advanced data modeling skills (conceptual, logical, physical) across relational, NoSQL, and event-driven systems.
  • Hands-on proficiency with ETL/ELT tools (e.g., dbt, Fivetran, Matillion) and streaming technologies (e.g., Kafka, Kinesis, Pulsar).
  • Strong knowledge of data governance platforms (e.g., Collibra, Alation, Informatica) and industry best practices.
  • Understanding of AI/ML data lifecycle management and operationalisation.
  • Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders.

What Success Looks Like

  • A scalable, resilient, and future-ready data architecture that drives measurable business outcomes.
  • Teams across the organisation access trusted, high-quality data that fuels innovation and decision-making.
  • Data governance and security practices are deeply embedded into every process.
  • The organisation is ready to embrace AI and advanced analytics without rework or disruption.

Why You’ll Love Working Here

  • Impact that Matters: Your work will directly shape how we innovate, compete, and deliver value.
  • Innovation Every Day: Collaborate with a team that embraces experimentation, new technologies, and continuous improvement.
  • Inclusive Collaboration: Join a diverse, talented community that celebrates different perspectives and shared success.
  • Growth & Opportunity: Access to professional development, cutting-edge projects, and the freedom to bring bold ideas to life.

We believe diversity of thought, background, and experience fuels innovation. We welcome candidates from all walks of life who share our passion for unlocking the power of data to create a better future.

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