Solution Architect

Responsibilities:

Architectural Design & Strategy:

• Data Blueprints: Design end-to-end data architectures encompassing data ingestion,
• real-time streaming, batch processing, data warehousing, and advanced analytics.
• Modern Data Stack: Evaluate, select, and integrate modern cloud data technologies
• (e.g., Snowflake, Databricks, BigQuery, Kafka, dbt).
• Future-Proofing: Ensure architectures are highly scalable, fault-tolerant, resilient, and
• Optimized for performance and cost.

Data Governance & Security:

• Compliance & Security: Embed robust security compliance frameworks (e.g., GDPR,
• NDPR, SOC2, HIPAA) directly into the infrastructure and data access layers.
• Data Quality & Lineage: Establish clear frameworks for data cataloging, lineage tracing,
• and master data management (MDM) to guarantee data trust across the organization.

Collaboration & Leadership:

• Cross-Functional Alignment: Collaborate closely with Data Engineers, Data Scientists,
• Product Managers and Business Executives translate commercial goals into technical
• realities.
• Technical Mentorship: Guide, mentor, and review the work of engineering teams to
• Ensure implementation aligns perfectly with architectural blueprints.
• Client/Stakeholder Engagement: Act as a trusted technical advisor, confidently
• presenting complex architectural decisions and ROI to executive stakeholders.

Requirements: 

• Cloud Infrastructure: Deep, hands-on expertise in at least one major cloud ecosystem(AWS, Azure, or GCP), backed by relevant professional certifications (e.g., AWS Certified Solutions Architect Professional, Google Professional Data Engineer.
• Data Ecosystems: Proficient in designing both Data Lakes and Data Warehouses
• Strong familiarity with modern data orchestrators (Airflow, Prefect) and transformation tools (dbt).
• Streaming & Compute: Experience with distributed computing frameworks (Spark, Hadoop) and real-time streaming technologies (Kafka, Flink).
• Languages & Modelling: Advanced proficiency in SQL and Python/Scala. Solid understanding of data modeling techniques (Dimensional, Data Vault 2.0).
• Speed with Precision: Ability to architect rapid prototypes and deliver technical
• Roadmaps efficiently without sacrificing engineering excellence.
• Problem-Solving: Exceptionally strong analytical mindset capable of diagnosing bottlenecks in highly complex, distributed data systems.
• Communication: Masterful ability to break down highly technical concepts into clear, value-driven language for non-technical stakeholders.
• 5+ years of experience in software engineering, data engineering, or systems
• 3+ years specifically spent designing enterprise-grade data analytics platforms or data management solutions