Data Architect

Nix; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible working format

Education reimbursement

Career growth

Mentorship program

Tech talks and trainings

Centers of excellence

Regular knowledge sharing

Job summary

N-iX is seeking a Data Architect to lead cloud data platform design for clients. You will own end-to-end architectures, guide engineering teams, and collaborate with stakeholders across discovery, pre-sales and delivery.

The role blends hands-on leadership with consulting to ensure architecture quality and successful production deployments. You will mentor engineers, drive data governance, and shape lakehouse and data warehouse strategies while aligning with GDPR and LATAM privacy requirements.

Qualifications

• 8+ years in data engineering or data platforms, with 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 (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.

Responsibilities

• Design end-to-end data architectures on Snowflake and/or Databricks, deployed on Azure and/or AWS.
• Define lakehouse and data warehouse patterns and choose the right one for each use case.
• Lead migrations from legacy platforms 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 including GDPR and LATAM privacy laws.
• Optimize platform cost and performance (warehouse sizing, FinOps).
• Run discovery workshops and architecture reviews with client 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 technical escalation point.
• Prepare data foundations for BI, advanced analytics, ML and GenAI use cases.

Skills

SQL proficiency

Python/Scala

Client-facing communication

Leadership & mentorship

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Databricks

Azure

AWS

Airflow

dbt

Terraform

CI/CD for data

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