Data Architect

Confidential Company; Dublin; Hybrid; EUR 110,000 - 150,000; Full time

Job summary

Confidential Company is seeking a highly experienced Data Architect to design and implement modern cloud data solutions. You will lead technical initiatives, guide an engineering team and ensure data strategies align with long-term business objectives.

Expertise in Snowflake, Databricks, and AWS tools is essential, with a strong focus on data security and governance. The role is hybrid, based in Dublin, requiring 2–3 days onsite per week.

Qualifications

• Excellent knowledge of Snowflake, Databricks and AWS data tools.
• Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Apache Spark and Databricks Workflows.
• Experience designing and implementing modern on-premises and cloud data solutions.
• Building effective relationships with senior technical staff to create a shared understanding of goals and challenges.
• Designing architecture solutions in line with long-term business objectives.
• Experience in data security and governance.
• Designing data infrastructure that supports complex analytics, reporting and visualisation services.
• Providing technical leadership and direction to engineering teams.
• A strong understanding of delivery management best practices, tools and techniques, with the ability to keep improving these processes in an Agile delivery organisation.

Responsibilities

• Assembling large, complex data sets that meet functional and non-functional business requirements.
• Designing and building lakehouse solutions on Databricks that integrate with Snowflake and the wider AWS data estate.
• Collaborating and coordinating with multiple departments, stakeholders, partners and external vendors.
• Identifying, designing and implementing internal process improvements, including re-designing infrastructure for greater scalability, optimising data delivery and automating manual processes.
• Defining the data architecture framework, standards and principles, including modelling, metadata, security, reference data and master data.
• Defining reference architecture that others can follow to create and improve data systems.
• Defining data flows, including which parts of the organisation generate data, which require data to function, how data flows are managed and how data changes in transition.

Skills

Data architecture

Technical leadership

Agile methodologies

Stakeholder management

Data security

Tools

Snowflake

Databricks

AWS data tools

Delta Lake

Unity Catalog

Apache Spark

Databricks Workflows

Job description

We are looking for a highly experienced Data Architect to design and implement modern cloud data solutions for our customer. The ideal candidate will have strong expertise in Snowflake, Databricks and AWS data tools, along with a proven ability to design scalable data infrastructure that supports advanced analytics and reporting. You will provide technical leadership, guide the engineering team and work with stakeholders to make sure data strategies align with long-term business objectives. Strong skills in data security and Agile methodologies are essential, as is the ability to translate complex technical concepts into business language.

This is a hybrid role. The successful candidate will work from our customer’s office in Dublin, 2 to 3 days per week.

Key Responsibilities

• Assembling large, complex data sets that meet functional and non-functional business requirements
• Designing and building lakehouse solutions on Databricks that integrate with Snowflake and the wider AWS data estate
• Collaborating and coordinating with multiple departments, stakeholders, partners and external vendors
• Identifying, designing and implementing internal process improvements, including re-designing infrastructure for greater scalability, optimising data delivery and automating manual processes
• Defining the data architecture framework, standards and principles, including modelling, metadata, security, reference data and master data
• Defining reference architecture that others can follow to create and improve data systems
• Defining data flows, including which parts of the organisation generate data, which require data to function, how data flows are managed and how data changes in transition

Requirements

• Excellent knowledge of Snowflake, Databricks and AWS data tools
• Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Apache Spark and Databricks Workflows
• Experience designing and implementing modern on-premises and cloud data solutions
• Building effective relationships with senior technical staff to create a shared understanding of goals and challenges
• Designing architecture solutions in line with long-term business objectives
• Experience in data security and governance
• Designing data infrastructure that supports complex analytics, reporting and visualisation services
• Providing technical leadership and direction to engineering teams
• A strong understanding of delivery management best practices, tools and techniques, with the ability to keep improving these processes in an Agile delivery organisation