We are seeking a Data Solutions Architect to design and lead the implementation of our enterprise-wide data platforms and integration frameworks. In this role, you will define how data flows across our systems, ensuring interoperability between tools and enabling a scalable, secure, and modern data platform.
You are an expert in cloud-native data platforms, integration patterns, APIs, and real-time data streaming. You have a proven ability to balance complex technical design with core business needs.
Key Responsibilities
Platform Architecture
- Define and evolve the enterprise data platform architecture, including data lakehouses, data meshes, and hybrid cloud solutions.
- Architect core data components, from ingestion and processing to storage and APIs.
- Ensure our data platforms (e.g., Databricks, Snowflake, Confluent, Atlan) are fully integrated, functioning as a unified ecosystem.
- Establish standards for scalability, resilience, and cost optimization in all platform designs.
Integration & Interoperability
- Design frameworks for connecting data across internal and external systems (e.g., ERP, POS, e-commerce, CRM, MarTech).
- Define patterns for batch, streaming, and API-driven integrations, ensuring consistency across brands and regions.
- Collaborate with application architects to ensure seamless cross-platform data exchange and orchestration.
- Drive the adoption of real-time event streaming for customer engagement and operational use cases.
Governance & Security
- Embed data security, privacy, and compliance (e.g., encryption, tokenization, access control) into all integrations.
- Partner with governance teams to enforce metadata management, data lineage, and auditability at the integration layer.
Collaboration & Delivery
- Work closely with data engineers, cloud engineers, and business teams to deliver integrated solutions.
- Provide architectural guidance on solution design, vendor onboarding, and platform scaling initiatives.
- Act as the subject matter expert on integration technologies, including Confluent, API gateways, and orchestration tools.
- Mentor teams on best practices for platform usage, API management, and event-driven architectures.
Innovation & Optimization
- Continuously assess emerging integration tools and cloud-native services to determine their value.
- Lead platform modernization initiatives to support AI/ML readiness, real-time personalization, and advanced analytics.
- Optimize compute and storage costs by recommending the right architectural patterns and workload placements.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
- 5+ years of experience in data engineering, solutions architecture, or platform integration.
- Hands-on expertise with cloud platforms (AWS) and data platforms (Databricks, Snowflake, Kafka/Confluent, Delta Lake).
- Strong knowledge of integration patterns (ETL/ELT, CDC, APIs, streaming).
- Experience with data orchestration frameworks like Dagster, Airflow, or dbt.
- Proven experience designing secure and compliant architectures.
- Excellent communication and stakeholder management skills.
Preferred Skills
- Experience with multi-brand, multi-region platform rollouts.
- Familiarity with metadata management tools (Atlan, Collibra, Purview).
- Knowledge of event-driven design patterns and microservices integration.
- Background in QSR, retail, or financial services is a plus.
