Senior Solution Architect - I&D
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Role details
Tech stack
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Job description
stakeholder management data architecture Power BI performance optimization Microsoft Azure SQL/NoSQL Databases Tableau ETL/ELT
As a Senior Data Architect, you will serve as a technical leader responsible for the end-to-end design and implementation of robust data systems. You will bridge the gap between complex business requirements and actionable technical insights, specializing in the entire data lifecycle-from ingestion and storage to advanced analytics and visualization.
Core Responsibilities:
- Architectural Blueprinting: Design and oversee scalable, secure data platforms, including Data Lakes, Data Warehouses, and modern Lakehouse architectures.
- Data Pipeline Strategy: Define and lead the strategy for ETL/ELT pipelines, ensuring seamless data integration across disparate sources and maintaining high-quality data flow.
- Technology Selection: Evaluate and select optimal tech stacks (e.g., Snowflake, Databricks, AWS Glue) by balancing cost, performance, and project constraints.
- Governance & Security: Establish comprehensive frameworks for data governance, privacy compliance (GDPR), and high-level security protocols, including encryption and access control.
- Stakeholder Liaison: Act as a translator between business executives and technical teams, providing clear architectural guidance to engineers while presenting technical value to stakeholders.
- Advanced Analytics Support: Build infrastructure specifically optimized for Machine Learning (ML), AI, and Business Intelligence (BI) tools such as Power BI or Tableau.
Requirements
- Cloud Proficiency: Deep, hands-on expertise in at least one major cloud platform (AWS, Microsoft Azure, or GCP).
- Data Modeling: Advanced knowledge of SQL and NoSQL databases, with mastery of modeling patterns like Star Schema, Kappa, or Lambda.
- Big Data Technologies: Proven experience with distributed computing frameworks, including Apache Spark, Hadoop, or Kafka.
- Experience: 8-12+ years in IT, with a minimum of 5 years dedicated specifically to data architecture or engineering.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Benefits & conditions
The pay range that the employer in good faith reasonably expects to pay for this position is $81.78/hour - $127.77/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
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