Snowflake Data Architect – Banking & Financial Services

Workster

Snowflake Data Architect designing and implementing data platforms for banking and financial services. Lead architecture and collaboration with cross-functional teams in Sofia, Bulgaria.

Posted 8/3/2026full-timeSofia • 🇧🇬 BulgariaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing Snowflake data platforms and data warehouses, with a strong focus on data ingestion, transformation, and governance in banking and financial services. Proficient in optimizing performance and ensuring compliance with regulatory requirements while providing technical leadership and mentorship.

Highest-signal resume keywords

Snowflake ArchitectureELT/ETL Pipeline DevelopmentData Governance and SecuritySQL Query OptimizationCloud Platform Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SnowflakeData ModellingSQLPythonApache AirflowDbtMatillionMicro-PartitioningClustering KeysMaterialised Views

Soft Skills

Problem-SolvingCommunicationStakeholder Management

Tools & Technologies

AWSAzureGCPCollibraAlationMonte CarloGreat Expectations

Certifications & Qualifications

SnowPro CoreSnowPro Advanced

Industry Keywords

BankingFinancial ServicesData GovernanceComplianceGDPR

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformMatillionPythonSQL

About the role

Key responsibilities & impact

Lead the design and architecture of Snowflake data platforms and data warehouses to support analytics, reporting and operational use cases across banking and financial services
Define logical and physical data models, schema design patterns, and best practices for Snowflake (database objects, schemas, cloning, streams, tasks, zero-copy cloning)
Architect and implement data ingestion and transformation pipelines using ELT/ETL paradigms, leveraging Snowflake native features and preferred orchestration tools (e.g. dbt, Airflow, Matillion)
Design secure data access patterns and governance controls including role-based access, object tagging, data masking, dynamic data masking and integration with enterprise Identity and Access Management
Collaborate with cloud engineering teams on Snowflake account provisioning, networking, cost control, resource monitors and cloud storage integration (AWS S3, Azure Data Lake Storage, GCP)
Optimise query performance and storage costs through clustering, micro-partitioning, materialised views, result caching and appropriate sizing of virtual warehouses
Develop and enforce data quality, lineage and observability practices using metadata management, testing frameworks and monitoring tools
Provide technical leadership and mentorship to data engineers, analysts and platform engineers; conduct design reviews and code reviews
Support data migration and modernisation programmes, including lifting and shifting legacy data warehouses, consolidating data domains and enabling self-service analytics
Ensure solutions meet regulatory, compliance and security requirements relevant to banking and financial services (e.g. GDPR, local reporting, auditability)
Produce high-quality architecture artefacts, technical specifications, runbooks and operational documentation for stakeholders and support teams
Engage with client stakeholders to translate business requirements into technical designs and pragmatic implementation roadmaps

Requirements

What you’ll need

Proven experience as a Snowflake Architect or Senior Data Architect, with multiple end-to-end Snowflake implementations in production
Deep technical knowledge of Snowflake features and best practices, including storage, compute, micro-partitioning, clustering keys, streams & tasks, materialised views and time travel
Hands-on experience building ELT/ETL pipelines and data modelling for analytics using tools such as dbt, SQL, Python, Apache Airflow, Matillion or similar
Strong SQL skills and experience optimising complex analytical queries and workloads at scale
Familiarity with cloud platforms and integrations (AWS, Azure or GCP) and experience managing Snowflake deployments across cloud providers
Knowledge of data governance, security controls, encryption, masking and compliance requirements within banking and financial services
Experience with metadata, data lineage and observability tools (e.g. Collibra, Alation, Monte Carlo, Great Expectations) is advantageous
Excellent problem-solving, communication and stakeholder management skills with the ability to work in cross-functional and international teams
Relevant certifications (e.g. SnowPro Core, SnowPro Advanced) are a plus
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics or a related field, or equivalent practical experience
Fluent English (C1 or above); knowledge of Bulgarian is advantageous but not required.

Benefits

Comp & perks

Home office allowance
25 days of paid annual leave
Additional private health insurance
Food vouchers
Public transportation card
Employee Assistance Program (Mental Health, Legal & Financial Counselling)
Optional parking space
Multisport card
Comprehensive training, mentorship and career development support
Access to over 15,000 LinkedIn Learning courses to support professional development
Opportunity to work on international transformation projects within a company that values diversity, inclusion, sustainability and mutual trust