Lead end-to-end cloud data platform architecture using Snowflake or Databricks on Azure or AWS. Design lakehouse and warehouse patterns, lead legacy migrations, establish modeling, governance, security, CI/CD, and infrastructure standards, and optimize cost and performance. Conduct client workshops, support pre-sales, mentor engineers, review technical designs, and guide delivery. Build data foundations for BI, advanced analytics, ML, and GenAI use cases.
N-iX is a global software engineering and technology services company, building solutions for clients since 2002. Our teams work across Europe, the Americas, and Asia for Fortune 500 companies and fast-growing businesses in finance, retail, manufacturing, telecom, healthcare, and more.
Our Data & Analytics practice designs and delivers modern data platforms on Snowflake, Databricks, Azure and AWS, from first assessment to production at scale.
We are looking for a Data Architect to lead the design of cloud data platforms for our clients. You will own the target architecture end-to-end, work directly with client stakeholders, and guide engineering teams through delivery.
The role mixes hands-on technical leadership with consulting: you will shape solutions in pre-sales, run discovery workshops, and stay accountable for architecture quality once the project is live.
- Design end-to-end data architectures on Snowflake and/or Databricks, deployed on Azure and/or AWS: ingestion, storage, processing, serving and consumption layers.
- Define lakehouse and data warehouse patterns (medallion architecture, data vault, dimensional models) and choose the right one for each use case.
- Lead migrations from legacy platforms (on-prem DWH, Hadoop, Teradata, Oracle, SQL Server) to the cloud, including assessment, roadmap and cutover plan.
- Set standards for data modelling, pipeline design, CI/CD, infrastructure as code and environment strategy.
- Design data governance, security and compliance: access control, data lineage, cataloguing (Unity Catalog, Snowflake Horizon, Purview), GDPR and local LATAM privacy laws.
- Optimize platform cost and performance (warehouse sizing, cluster policies, FinOps practices).
- Run discovery workshops and architecture reviews with client business and technical stakeholders, in English.
- Support pre-sales: solution design, effort estimates, technical sections of proposals and client presentations.
- Mentor data engineers and review their designs and code; act as the technical point of escalation on the project.
- Prepare data foundations for BI, advanced analytics, ML and GenAI use cases.
- 8+ years in data engineering or data platforms, including 3+ years as a Data or Solution Architect.
- Hands-on production experience with Snowflake and/or Databricks (at least one in depth).
- Strong knowledge of Azure and/or AWS data services, for example:
- Azure: ADLS Gen2, Data Factory, Synapse/Fabric, Event Hubs, Purview, Key Vault
- AWS: S3, Glue, Redshift, Kinesis, Lambda, Lake Formation, IAM
- Expert SQL and solid Python or Scala; experience with Spark.
- Proven experience with data modelling (dimensional, data vault) and lakehouse design.
- Experience with orchestration and transformation tools such as Airflow, dbt, Azure Data Factory or Databricks Workflows.
- Working knowledge of infrastructure as code (Terraform, Bicep or CloudFormation) and CI/CD for data.
- Track record of leading at least one cloud data platform build or migration from design to production.
- Client-facing consulting experience: running workshops, presenting architecture decisions, managing expectations.
- At least B2 English, written and spoken.
- Certifications: SnowPro Advanced Architect, Databricks Certified Data Engineer Professional, Azure Solutions Architect Expert, AWS Solutions Architect Professional or AWS Data Analytics/Data Engineer.
- Streaming architectures (Kafka, Spark Structured Streaming, Snowpipe Streaming, Delta Live Tables).
- Data mesh, data products and data contracts in practice.
- MLOps and GenAI data foundations (feature stores, vector search, RAG pipelines).
- Domain experience in banking, insurance, retail, telecom or energy.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Similar Jobs
Fintech • Software • Financial Services
Designs and maintains scalable data architectures, models, ETL processes, data flows, SQL Server environments, warehouses, and migration initiatives. Provides architectural guidance, supports application development, improves data quality and performance, safeguards data, documents solutions, and troubleshoots database incidents. The role also includes collaboration with engineering and security teams, quality assurance participation, and potential mentoring or supervisory responsibilities.
Top Skills:
Data MigrationData ModelingData WarehousingETLSQL Server
Information Technology • Consulting
Lead end-to-end cloud data architecture for client platforms using Snowflake, Databricks, Azure, and AWS. Design lakehouse and warehouse patterns, migrations, governance, security, pipelines, infrastructure, and cost optimization. Conduct discovery workshops, support presales, present architecture decisions in Spanish and English, mentor engineers, review technical work, and ensure delivery quality. The role also prepares data foundations for BI, analytics, machine learning, and GenAI initiatives.
Top Skills:
Adls Gen2AirflowAmazon S3AWSAws GlueAzureAzure Data FactoryBicepCi/CdCloudFormationDatabricksDatabricks WorkflowsDbtDelta Live TablesEvent HubsGenaiIamKafkaKey VaultKinesisLake FormationLambdaMicrosoft FabricMlopsPurviewPythonRedshiftScalaSnowflakeSnowpipe StreamingSparkSpark Structured StreamingSQLSynapseTerraform
Artificial Intelligence • Information Technology • Professional Services • Analytics
Design and lead scalable data architectures for client organizations, covering data lakes, warehouses, databases, integrations, governance, security, and quality. Translate business requirements into architecture solutions, optimize cloud and on-premise systems for performance and cost, guide engineering teams, document designs, and maintain expertise in Databricks and modern data technologies. The role requires up to 20% travel to client sites.
Top Skills:
Apache KafkaSparkAWSDatabricksETLGoogle Cloud PlatformHadoopMicroservicesAzureNosql DatabasesRelational DatabasesServerless Architecture
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.
