Data Architect

N-iX; Wrocław; Hybrid; PLN 210,000 - 320,000; Full time

Benefits offered by this job

Flexible working format - remote, on‑x

Competitive salary and good package

Personalized career growth

Mentorship program and tech talks

Education reimbursement

Corporate events and team buildings

Active tech communities

Job summary

N-iX is seeking an experienced Data Architect to lead end-to-end cloud data platform designs for clients. You will guide engineering teams, run discovery workshops, and ensure architecture quality from design to production.

The role blends hands-on leadership with consulting, involving pre-sales support, architectural decisions, and mentoring data engineers across Azure and AWS environments.

Qualifications

• 8+ years in data engineering or data platforms with 3+ years as a Data/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 (Azure: ADLS Gen2, Data Factory, Synapse; AWS: S3, Glue, Redshift, Kinesis).
• Expert SQL and solid Python or Scala; experience with Spark.
• Proven data modelling (dimensional, data vault) and lakehouse design.
• Experience with orchestration/transformation tools: Airflow, dbt, Azure Data Factory, or Databricks Workflows.
• Infrastructure as code and CI/CD for data; cloud migration experience.
• Client-facing consulting: workshops, architecture decisions, expectations management.
• English at least B2, written and spoken.

Responsibilities

• Design end-to-end data architectures on Snowflake/Databricks, deployed on Azure/AWS.
• Define lakehouse and data warehouse patterns and pick the right approach per use case.
• Lead migrations from legacy platforms to the cloud with roadmaps and cutover plans.
• Set standards for data modelling, pipelines, CI/CD, IaC and environment strategy.
• Design data governance, security and compliance including GDPR and local laws.
• Optimize platform cost and performance and run architecture reviews with clients.
• Mentor engineers and act as the technical escalation point on projects.
• Support pre-sales with solution design, estimates, and technical proposals.

Skills

Snowflake

Databricks

Azure

AWS

SQL

Python/Scala

Spark

Data modelling

Lakehouse

CI/CD

Infrastructure as Code

Discovery workshops

Pre-sales support

Client-facing

Tools

Airflow

dbt

Azure Data Factory

Databricks Workflows

Terraform

Bicep

CloudFormation

Job description

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.

Responsibilities

• 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.

Requirements

• 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.

Nice to have

• 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