Senior Data Architect, Customer & Data

This is a fully remote position, open to applicants in Hungary.

📋 Description

• Facilitate discovery and assessment workshops engaging client data, IT, and marketing stakeholders.

• Convert business and marketing use cases into data requirements.

• Develop target-state data architecture on cloud data platforms, encompassing ingestion, storage layers, data models, transformation, and serving.

• Establish customer data models and identity strategies across the warehouse, CDP, downstream engagement, and analytics tools.

• Design integrations between the data warehouse and marketing systems, including warehouse-native and zero-copy audience patterns, reverse ETL, and event streaming.

• Evaluate and strategize modifications to existing data platforms, including impact analysis on downstream CDP, engagement, and reporting flows.

• Set benchmarks for data quality, lineage, security, and access control.

• Create governance frameworks that comply with GDPR and industry-specific regulations.

• Model data volumes, performance, and platform consumption for capacity and cost planning.

• Review data models and pipeline code, develop proofs of concept, and eliminate technical barriers for data engineers.

• Mentor data engineers and contribute to BPX's Data capability, including delivery patterns, accelerators, and reusable assets.

• Assist in pre-sales activities through scoping, estimation, solution shaping, and establishing technical credibility during client presentations.

⛳️ Requirements

• Minimum of eight years in data engineering or data architecture, with at least three years of experience in designing enterprise data platforms from end to end.

• Extensive hands-on experience with Snowflake.

• Familiarity with at least one other significant data platform, such as Databricks, BigQuery, Azure (Synapse or Fabric), or AWS (Redshift).

• Strong skills in data modeling using dimensional, Data Vault, or similar methodologies.

• Proficient in SQL.

• Experience with modern data tools for ingestion, transformation, and orchestration, such as dbt, Fivetran, Airflow, or equivalent technologies.

• Working knowledge of Python.

• Experience linking data platforms to marketing and customer systems, ideally CDPs such as Twilio Segment, Adobe Real-Time CDP, or Salesforce Data Cloud, and engagement platforms like Braze.

• Solid understanding of data governance, security, and privacy, including GDPR, consent data, and role-based access.

• Background in consulting or agency environments.

• Ability to establish credibility with clients and articulate architectural decisions to marketers and engineers.

• Proven experience in leading or mentoring data engineers in enterprise-level delivery.

• Fluent in English.

• Authorization to work in an EMEA country where BPX operates.

• SnowPro Advanced: Architect or equivalent certification is advantageous.

• Experience in financial services or other regulated industries is a plus.

🏝️ Benefits

• Equal Employment Opportunity employer.

• Accessible recruitment process with reasonable accommodations considered at any stage.

• Opportunity to influence the development of a new Data capability.

• Client-facing ownership of enterprise data architecture and customer outcomes.