[C3I] Data Architect

Software Mind

29d•Remote

About The Position

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines cooperation with enjoyment. Project – the aim you’ll have We are the Data & Analytics Global Capability at Software Mind. We design, build and maintain data and analytics solutions for clients across industries: financial services, telco, media & entertainment, retail, manufacturing, gaming, healthcare and more. Our projects run on modern data platforms, mainly Snowflake and Databricks on Azure, AWS and GCP, as well as on-premises and hybrid environments. Role – how you’ll contribute Architecture & Delivery: 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. Presales & Client Advisory 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.

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 the ability to explain technical trade-offs to business stakeholders.
Very good English, spoken and written (C1).

Nice To Haves

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 our verticals (BFSI, telco, retail/manufacturing, gaming & betting, healthcare, media).
Previous presales or solution consulting experience.

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.