Remote Data Architect — Flexible, Global Projects

Software Mind; Warszawa; Hybrid; PLN 220,000 - 340,000; Full time

Benefits offered by this job

Flexible remote cooperation

International projects

Travel opportunities

Non-corporate atmosphere

Language classes

Private healthcare

Multisport card

Job summary

Software Mind is seeking a senior data architect/engineer to lead data and analytics architecture across industries. You will work on cloud, on-prem and hybrid platforms using Snowflake and Databricks as core technologies, partnering with clients to shape data strategies and solutions.

You will review designs, guide delivery teams, and collaborate with sales during presales. The ideal candidate has 7+ years in data engineering/architecture, strong SQL and Python, and excellent English

Qualifications

• 7+ years in data engineering or data architecture, including at least 3 years in an architect role.
• Hands-on experience designing and delivering solutions on Snowflake and Databricks (Delta Lake, Unity Catalog, Spark): expert level in at least one, working knowledge of the other.
• Experience with at least one major cloud (Azure, AWS or GCP) and its data services.
• Strong SQL and good Python.
• Experience with orchestration and transformation tools (e.g. Airflow, dbt, Azure Data Factory).
• Solid understanding of data security, governance and regulatory requirements.
• Client-facing experience, ideally in consulting or IT services, and the ability to explain technical trade-offs to business stakeholders.
• Very good English, spoken and written (C1).

Responsibilities

• Assess the client’s current data landscape and design target-state architectures (cloud, hybrid, on-prem) aligned with their business goals.
• Select technologies based on the client’s needs, constraints and existing stack, with Snowflake and Databricks as our core platforms.
• Design lakehouse, warehouse and data lake architectures, including ingestion, ETL/ELT pipelines, CDC, streaming and API integrations.
• Design data models (conceptual, logical, physical) using Kimball, Data Vault or 3NF, as well as semantic layers for BI and AI.
• Define security (IAM, encryption, masking, row-level security), HA/DR, performance and cost optimization.
• Build data governance foundations: catalog, metadata, lineage, data quality and data contracts.
• Make sure platforms are ready for advanced analytics, ML, GenAI and real-time use cases.
• Create reference architectures, reusable patterns and accelerators for our Data & AI offering.
• Act as technical authority for delivery teams: review designs and keep quality consistent across projects.
• Partner with sales and industry teams as technical presales: discovery workshops, solution design, estimations and the technical parts of proposals and RFPs.
• Present architectures and recommendations to client stakeholders, from engineering teams to C-level.
• Design and run PoCs and technical demos.
• Evaluate new approaches and tools (data mesh, streaming-first, AI-native platforms) and share what you learn internally and externally.

Skills

Data architecture

Data engineering

SQL

Python

Client-facing communication

English proficiency (C1)

Tools

Snowflake

Databricks

Airflow

dbt

Azure Data Factory

Spark

Job description

Software Mind is seeking a senior data architect/engineer to lead data and analytics architecture across industries. You will work on cloud, on-prem and hybrid platforms using Snowflake and Databricks as core technologies, partnering with clients to shape data strategies and solutions.

You will review designs, guide delivery teams, and collaborate with sales during presales. The ideal candidate has 7+ years in data engineering/architecture, strong SQL and Python, and excellent English