📍 Job Overview

Job Title: Cloud Data Architect
Company: BearingPoint Ireland
Location: Dublin, Ireland
Job Type: On-site (Hybrid)
Category: Data Architecture
Date Posted: 2025-06-11
Experience Level: 5-10 years
Remote Status: On-site with hybrid work arrangement

🚀 Role Summary

Design and implement data architecture solutions in both on-prem and cloud environments, with a focus on Microsoft and AWS technologies.
Collaborate with cross-functional teams to deliver complex data projects for a wide range of clients.
Leverage advanced data modelling and architecture skills to create efficient and scalable data solutions.
Manage stakeholders and communicate technical solutions effectively to non-technical team members and clients.

📝 Enhancement Note: This role requires a balance of technical expertise and strong communication skills to succeed in a client-facing environment.

💻 Primary Responsibilities

Data Architecture Design: Design and implement data architecture solutions that meet business requirements and comply with data governance policies.
Cloud Migration: Lead cloud migration projects, ensuring data integrity and minimal downtime during the transition.
Data Integration: Work with data integration tools such as SSIS, ADF, Kafka, and Talend to create robust ETL/ELT processes.
Stakeholder Management: Collaborate with stakeholders to understand their data needs and ensure project success.
Database Configuration: Configure and manage database environments, optimizing performance and ensuring data security.
Data Governance: Implement data governance frameworks and ensure compliance with data security policies.

📝 Enhancement Note: This role requires a strong understanding of both on-prem and cloud data environments, as well as the ability to manage complex projects and stakeholders.

🎓 Skills & Qualifications

Education: A 3rd level degree in an IT-related discipline is required.

Experience: A minimum of 5 years of experience as a data architect, with a proven track record in both on-prem and cloud environments.

Required Skills:

Advanced data modelling and architecture skills
Proven experience with data integration tools (SSIS, ADF, Kafka, Talend)
Strong scripting skills (PowerShell, SQL)
Excellent communication and language skills in English
Experience managing stakeholders in complex environments
Knowledge of database design from an online, batch, and reporting perspective

Preferred Skills:

Experience working with Power BI in a Fabric or Synapse Analytics environment
Knowledge of other analytics delivery platforms (Databricks, Spark, Snowflake, Redshift)
Familiarity with machine learning frameworks and AI tools
Understanding of software delivery practices and modern delivery methodologies (Agile)
Experience with data governance frameworks and data security policies
Performance optimization of cloud data solutions

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your ability to design and implement data architecture solutions in both on-prem and cloud environments.
Showcase your experience with data integration tools and scripting skills.
Highlight your ability to manage stakeholders and communicate technical solutions effectively.

Technical Documentation:

Provide case studies or project documentation that showcase your data architecture design process.
Include any performance optimization strategies or data governance considerations implemented in your projects.
Demonstrate your ability to work with data integration tools and scripting languages to automate processes.

📝 Enhancement Note: This role requires a strong portfolio that demonstrates your technical expertise and ability to manage complex projects and stakeholders.

💵 Compensation & Benefits

Salary Range: €70,000 - €90,000 per year (based on industry standards for a Data Architect with 5-10 years of experience in Dublin, Ireland)

Benefits:

Competitive salary with company performance-based bonuses
Holidays
Private health insurance
Pension contributions
Gym/club subscription
Wellness programmes
Mobile phone
Continuous learning opportunities, including external training at prestigious universities
Hybrid working arrangement
Monthly social events
Diversity and inclusion initiatives
Mentoring and coaching programmes
Giving back initiatives, including sustainability and emissions calculator projects

Working Hours: Full-time (40 hours per week), with flexible deployment windows and maintenance schedules as needed.

📝 Enhancement Note: The salary range provided is based on market research for Data Architect roles in Dublin, Ireland, with 5-10 years of experience. Benefits are tailored to support work-life balance and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: BearingPoint operates in the management and technology consulting industry, with a focus on data analytics, AI, and regulatory compliance.

Company Size: BearingPoint is an independent management and technology consultancy with European roots and a global reach, employing over 10,000 people and supporting clients in over 75 countries.

Founded: BearingPoint was founded in 2009.

Team Structure:

The Data Analytics & AI team is part of BearingPoint's Consulting unit, which focuses on advisory services.
The team consists of data architects, data engineers, data scientists, and data analysts, working together to deliver complex data projects.
The team follows an Agile methodology, with regular sprint planning and collaboration sessions.

Development Methodology:

BearingPoint follows an Agile/Scrum methodology for software development, with regular sprint planning and stand-up meetings.
The team uses code reviews, testing, and quality assurance practices to ensure the delivery of high-quality solutions.
BearingPoint employs CI/CD pipelines and automated deployment strategies to streamline the development process.

Company Website: www.bearingpoint.com

📝 Enhancement Note: BearingPoint's company culture emphasizes collaboration, continuous learning, and a strong sense of community. The company's global reach and diverse client base offer unique opportunities for professional growth and development.

📈 Career & Growth Analysis

Data Architecture Career Level: This role is at the senior level, with a focus on designing and implementing complex data architecture solutions. The role requires a deep understanding of both on-prem and cloud data environments, as well as strong project management and stakeholder communication skills.

Reporting Structure: The Cloud Data Architect will report directly to the Data Analytics & AI team lead and work closely with other data architects, data engineers, data scientists, and data analysts to deliver complex data projects.

Technical Impact: The Cloud Data Architect will have a significant impact on the design and implementation of data architecture solutions, ensuring data integrity, performance, and security. They will also play a crucial role in managing stakeholders and communicating technical solutions effectively.

Growth Opportunities:

Technical Specialization: Develop expertise in specific data architecture domains, such as cloud data warehousing, data lakes, or real-time data processing.
Technical Leadership: Take on a mentoring role within the team, helping to develop the skills and careers of junior data architects.
Architecture Decision-Making: Contribute to strategic architecture decisions that align with business objectives and technical best practices.

📝 Enhancement Note: This role offers significant opportunities for professional growth and development, with a focus on technical specialization, leadership, and architecture decision-making.

🌐 Work Environment

Office Type: BearingPoint's Dublin office is a modern, collaborative workspace designed to support agile teamwork and innovation.

Office Location(s): BearingPoint's Dublin office is located in the heart of the city, with easy access to public transportation and amenities.

Workspace Context:

The workspace is designed to facilitate collaboration and communication, with open-plan offices and dedicated meeting spaces.
Each team member has access to multiple monitors and testing devices to support their work.
The workspace encourages knowledge sharing and technical mentoring, with regular team-building activities and social events.

Work Schedule: The work schedule is flexible, with a focus on delivering results rather than strict hours. Deployment windows and maintenance schedules may require flexible working hours.

📝 Enhancement Note: BearingPoint's work environment emphasizes collaboration, innovation, and work-life balance, with a focus on delivering results and supporting the professional development of its team members.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A hands-on technical assessment, focusing on data architecture design, data integration, and scripting skills.
Stakeholder Management: A role-play scenario to evaluate your ability to manage stakeholders and communicate technical solutions effectively.
Cultural Fit: A discussion to assess your cultural fit within the team and your alignment with BearingPoint's values.
Final Evaluation: A final evaluation based on your technical skills, stakeholder management abilities, and cultural fit.

Portfolio Review Tips:

Highlight your data architecture design process and the tools you used to create efficient and scalable data solutions.
Include case studies or project documentation that demonstrate your ability to manage complex projects and stakeholders.
Showcase your scripting skills and any performance optimization strategies or data governance considerations implemented in your projects.

Technical Challenge Preparation:

Brush up on your data architecture design skills, focusing on both on-prem and cloud environments.
Familiarize yourself with data integration tools and scripting languages, such as PowerShell and SQL.
Prepare for stakeholder management scenarios, focusing on your ability to communicate technical solutions effectively.

ATS Keywords: [See the comprehensive list of ATS keywords provided at the end of this document]

📝 Enhancement Note: The interview process for this role is designed to evaluate your technical skills, stakeholder management abilities, and cultural fit within the team. The technical assessment focuses on data architecture design, data integration, and scripting skills, while the stakeholder management scenario assesses your ability to communicate technical solutions effectively.

🛠 Technology Stack & Web Infrastructure

Data Integration Tools:

SSIS
ADF
Kafka
Talend

Scripting Languages:

PowerShell
SQL

Cloud Platforms:

Microsoft Azure
Amazon Web Services (AWS)

Database Management Systems:

SQL Server
MySQL
PostgreSQL
MongoDB

Data Warehousing & Data Lakes:

Azure Synapse Analytics
AWS Redshift
Snowflake
Databricks

Machine Learning & AI Tools:

Azure Machine Learning
AWS SageMaker
TensorFlow
PyTorch

📝 Enhancement Note: This role requires a strong understanding of both on-prem and cloud data environments, as well as experience with data integration tools, scripting languages, and cloud platforms. Familiarity with data warehousing, data lakes, and machine learning tools is also beneficial.

👥 Team Culture & Values

Data Architecture Values:

User-Centric Design: Focus on designing data architecture solutions that meet business requirements and enhance user experience.
Data Governance: Ensure data integrity, security, and compliance with data governance policies.
Performance Optimization: Continuously monitor and optimize data architecture solutions for optimal performance.
Collaboration: Work closely with cross-functional teams to deliver complex data projects.

Collaboration Style:

Agile Methodology: Follow an Agile/Scrum methodology for software development, with regular sprint planning and collaboration sessions.
Code Review Culture: Encourage code reviews and pair programming to ensure high-quality solutions and knowledge sharing.
Knowledge Sharing: Foster a culture of knowledge sharing, technical mentoring, and continuous learning.

📝 Enhancement Note: BearingPoint's data architecture team values a user-centric approach, data governance, performance optimization, and collaboration. The team follows an Agile methodology, with a focus on code reviews, knowledge sharing, and continuous learning.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Migration: Lead complex cloud migration projects, ensuring data integrity and minimal downtime during the transition.
Data Governance: Implement data governance frameworks and ensure compliance with data security policies in a dynamic and evolving data environment.
Performance Optimization: Continuously monitor and optimize cloud data solutions to meet changing business requirements and performance demands.
Emerging Technologies: Stay up-to-date with emerging data architecture trends and tools, and incorporate them into your projects as appropriate.

Learning & Development Opportunities:

Technical Skill Development: Develop expertise in specific data architecture domains, such as cloud data warehousing, data lakes, or real-time data processing.
Conference Attendance: Attend industry conferences and events to stay up-to-date with the latest trends and best practices in data architecture.
Certification: Pursue relevant certifications, such as Microsoft Certified: Azure Solutions Architect Expert or AWS Certified Solutions Architect – Professional.
Technical Mentoring: Provide technical mentoring to junior data architects, helping to develop their skills and careers.

📝 Enhancement Note: This role presents significant technical challenges and learning opportunities, with a focus on cloud migration, data governance, performance optimization, and emerging technologies. The role also offers opportunities for technical skill development, conference attendance, certification, and technical mentoring.

💡 Interview Preparation

Technical Questions:

Data Architecture Design: Describe your approach to designing data architecture solutions in both on-prem and cloud environments. Provide an example of a complex data architecture project you've worked on, and explain the design decisions you made.
Data Integration: Explain your experience with data integration tools, such as SSIS, ADF, Kafka, and Talend. Describe a complex data integration project you've worked on, and discuss the challenges you faced and how you overcame them.
Stakeholder Management: Walk through a scenario where you had to manage stakeholders with competing priorities and expectations. Explain how you communicated technical solutions effectively and ensured project success.

Company & Culture Questions:

BearingPoint's Data Analytics & AI Team: Describe your understanding of BearingPoint's Data Analytics & AI team and its role within the company. Explain how you would contribute to the team's success and align with its values.
Agile Methodology: Explain your experience with Agile/Scrum methodologies and how you've applied them in previous projects. Discuss any challenges you've faced and how you've overcome them.
User Experience Impact: Describe your approach to designing data architecture solutions with a focus on user experience. Provide an example of a project where you considered user experience in your data architecture design process.

Portfolio Presentation Strategy:

Live Demonstration: Prepare a live demonstration of your data architecture design process, using a case study or project documentation to showcase your skills and experience.
Code Walkthrough: Prepare a detailed walkthrough of your code, explaining your design decisions and any performance optimization strategies or data governance considerations implemented in your projects.
Stakeholder Management: Prepare a stakeholder management scenario, demonstrating your ability to communicate technical solutions effectively and manage competing priorities and expectations.

📝 Enhancement Note: The interview process for this role focuses on evaluating your technical skills, stakeholder management abilities, and cultural fit within the team. The technical assessment focuses on data architecture design, data integration, and scripting skills, while the stakeholder management scenario assesses your ability to communicate technical solutions effectively.

📌 Application Steps

To apply for this Cloud Data Architect position at BearingPoint Ireland:

Tailor Your Resume: Highlight your relevant data architecture experience, skills, and achievements, focusing on both on-prem and cloud environments.
Prepare Your Portfolio: Showcase your data architecture design process, data integration projects, and scripting skills, using case studies or project documentation to demonstrate your expertise.
Research BearingPoint: Familiarize yourself with BearingPoint's company culture, values, and data analytics & AI team. Prepare thoughtful questions to ask during the interview process.
Practice Technical Scenarios: Brush up on your data architecture design, data integration, and scripting skills, and prepare for stakeholder management scenarios to demonstrate your ability to communicate technical solutions effectively.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and data architecture industry-standard assumptions. All details should be verified directly with BearingPoint Ireland before making application decisions.

ATS Keywords:

Programming Languages:

SQL
PowerShell
Python (for data integration, machine learning, and AI tools)

Web Frameworks:

Not applicable (focus on data architecture, not web development)

Server Technologies:

Microsoft Azure
Amazon Web Services (AWS)
SQL Server
MySQL
PostgreSQL
MongoDB

Databases:

Azure Synapse Analytics
AWS Redshift
Snowflake
Databricks

Tools:

SSIS
ADF
Kafka
Talend
Azure Data Factory
AWS Glue
AWS Data Pipeline
AWS Step Functions
Azure Machine Learning
AWS SageMaker
TensorFlow
PyTorch

Methodologies:

Agile/Scrum
Data Governance
Data Security
Performance Optimization

Soft Skills:

Stakeholder Management
Communication
Teamwork
Problem-Solving
Adaptability

Industry Terms:

Data Architecture
Cloud Migration
Data Integration
ETL/ELT
Data Warehousing
Data Lakes
Real-Time Data Processing
Machine Learning
AI
Data Governance
Data Security
Performance Optimization
Agile Methodologies
Scrum
Sprint Planning
Stakeholder Management
Technical Communication
Technical Leadership
Architecture Decision-Making

This comprehensive list of ATS keywords is organized by category, providing a strategic approach to resume optimization for web development and server administration candidates.

Cloud Data Architect