Lead Databricks Architect

Req ID: 383477

Competitive salary | Dublin, Ireland

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.

NTT DATA is currently looking for a Lead Databricks Architect in Dublin for our growing team in Ireland.

We are looking for a Lead Databricks Architect to join NTT DATA Ireland's Data Practice, specialising in Databricks, with a solid background in advising on, shaping and guiding on data architectures, including for Knowledge Graphs, Data Ontologies, Machine Learning, Statistics and Predictive Analytics.

The team you'll be working with:

You will join NTT DATA Ireland's Data Practice, a specialist data team delivering enterprise-scale data platforms, analytics and data-led transformation for clients.

As part of the growing NTT DATA Ireland’s Data Practice, you will have a leadership role, and lead our Databricks-focused architecture capabilities, creating a market-leading and highly talent Databricks architecture team, covering Knowledge Graphs, Data Ontologies, Machine Learning, Predictive Analytics and Applied Data & AI use cases that help clients move beyond traditional data work to driving business outcomes through data.

You will lead and work alongside data architects, data engineers, platform specialists and consultants across Databricks’ services and offerings to develop practical, production-ready Databricks-focused architecture solutions.

You thrive in an environment that embraces collaboration with clients and internal teams to plan and execute projects on time and within budget to realise the value of data as a strategic asset.

Experience with Knowledge Graphs, Data Taxonomies, Data Ontologies, Data Context and Data Context Shaping, Generative / Agentic AI, LLMs and AI-enabled products is preferred, with the core of this role more focused on strong, applied Data architecture knowhow, rather than AI capabilities alone.

What you'll be doing:

Databricks architecture leadership

• Lead architecture teams and being a leading specialist on Databricks data architectures, being able to steer teams, provide deep knowledge and expertise and lead client architecture work, covering:
• Knowledge Graphs
• Data Taxonomies
• Data Ontologies,
• Data Context and Data Context Shaping
• Generative / Agentic AI
• LLMs and AI-enabled products (incl. Explainable AI).
• Architect data platforms, data pipelines and machine learning models for forecasting, classification, recommendation, optimisation, clustering and anomaly detection.
• Apply Databricks architectures and data techniques to analyse structured and semi-structured datasets.
• Guide teams on Databricks services (current and future), data architecture and model approaches, selecting appropriate data architectures and data pipeline techniques.
• Manage the relationship with Databricks, increasing our level of partnering, depth of architecture knowledge and ability to execute.
• Architect for and lead architecture teams through developing reusable notebooks, scripts and pipelines that support repeatable machine learning delivery.
• Support monitoring and continuous improvement of architectures deployed in client environments or in-house data accelerators.

Market and client engagement

• Work with client lead architects, senior developers and client stakeholders (incl. up to and including CxOs) to understand business problems and translate them into analytical tasks.
• Frame ambiguous questions into testable hypotheses, practical Databricks architectures and measurable data platform-enabled outcomes.
• Communicate Databricks and end-to-end data architecture insights, and recommendations in a clear, practical and business-relevant way.
• Establish and lead a Databricks community of practice, such that the team delivers architecture proof-of-concepts, project delivery, estimates, solution options and technical documentation where required.
• Act as a lead market evangelist for NTT DATA’s Databricks capabilities.

Databricks practice growth

• Work with Data Practice Leadership and Ireland Country Leadership on Databricks architecture opportunities, leadership and reliable delivery.
• Demonstrate and embed leading Databricks architecture practices, creating unique value propositions that differentiate NTT DATA’s Databricks capabilities in the market.
• Define and develop Databricks data architecture propositions, frameworks and methodologies to grow our practice and ensure scalable, repeatable delivery across market sectors.
• Build, mentor, and inspire specialist teams of Databricks data architects, fostering a culture of innovation, collaboration, and excellence.
• Support Databricks architects’ career development and Databricks architecture skills growth within the practice.

What experience you'll bring:

• Strong leadership experience of Databricks architecture teams, growing Databricks data architecture practices, and creating an environment for Databricks architecture talent growth.
• Market-leadership and pioneering Databricks experience, demonstrable through conferences, articles or similar thought leadership.
• Experience leading and delivering complex Databricks architectures for Tier 1 clients, developing architecture, capable of enabling a client’s most complex data challenges.
• Clear communication skills and the ability to work collaboratively in mixed technical and business teams.
• Consistent track record of working at a senior level, including with client lead architects, senior developers and client stakeholders (incl. up to and including CxOs) to understand business problems and translate them into analytical tasks.
• Leading Databricks data architecture capabilities, with evidence of being able to steer teams, provide deep knowledge and expertise and lead client architecture work, covering:
• Knowledge Graphs
• Data Taxonomies
• Data Ontologies
• Data Context and Data Context Shaping
• Generative / Agentic AI
• LLMs and AI-enabled products (incl. Explainable AI).

Benefits

Our people are the most critical component of our long-term success and their health and wellbeing are our priority. You will enjoy a comprehensive, locally competitive benefits package.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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