Data Architect

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Software Mind

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.

📋 Description

• Assess clients’ current data landscapes and design target-state cloud, hybrid, or on-premises architectures aligned with business goals • Select technologies based on client needs, constraints, and existing stacks, with Snowflake and Databricks as core platforms • Design lakehouse, warehouse, and data lake architectures, including ingestion, ETL/ELT pipelines, CDC, streaming, and API integrations • Design conceptual, logical, and physical data models using Kimball, Data Vault, or 3NF, plus semantic layers for BI and AI • Define IAM, encryption, masking, row-level security, high availability/disaster recovery, performance, and cost optimization • Build data governance foundations including catalog, metadata, lineage, data quality, and data contracts • Prepare platforms for advanced analytics, ML, GenAI, and real-time use cases • Create reference architectures, reusable patterns, and accelerators for the Data & AI offering • Act as technical authority for delivery teams by reviewing designs and maintaining quality across projects • Partner with sales and industry teams on technical presales, discovery workshops, solution design, estimations, proposals, and RFPs • Present architectures and recommendations to engineering teams and C-level stakeholders • Design and run proofs of concept and technical demos • Evaluate new approaches and tools and share findings internally and externally

🎯 Requirements

• 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 data modeling skills (Kimball, Data Vault, 3NF) • 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 ability to explain technical trade-offs to business stakeholders • Very good English, spoken and written (C1) • Snowflake (SnowPro Advanced), Databricks or cloud architect certifications • Experience with Microsoft Fabric, BigQuery or Redshift • Streaming (Kafka, Spark Structured Streaming) and event-driven architectures • Data catalogs and MDM (Unity Catalog, Collibra, Atlan, DataHub) • Semantic layer and knowledge graphs (dbt Semantic Layer, ontologies, RDF/OWL) • Domain experience in one of the listed verticals • Previous presales or solution consulting experience

🏖️ Benefits

• Flexible and remote cooperation options • International projects with leading global clients • Travels related to international projects • Non-corporate atmosphere • Access to language classes • Access to knowledge-sharing initiatives • Access to private healthcare and life insurance • Access to multisport card