Snowflake Architect – Manager (10–15 Years)
Our Analytics & Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed‑services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build, and operate the next generation of data and analytics solutions as an Associate.
Job Requirements and Preferences
Basic Qualifications
- Minimum Degree Required :
- Bachelor’s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field
- Minimum Years of Experience :
- 10–15 years of professional experience in analytics, data science, or business intelligence roles
Preferred Qualifications
Degree Preferred :Master’s Degree in Engineering, Statistics, Data Science, Business Analytics, Economics, or related disciplinePreferred Fields of Study :Data Analytics / Science, Statistics, Management Information Systems, Economics, Computer SciencePreferred Knowledge & Skills
As a Manager and Snowflake Architect, you’ll lead the design, implementation, and optimization of enterprise-scale data platforms on Snowflake. You will architect data solutions leveraging Snowflake, Python / PySpark, and SQL, enabling scalable analytics and data-driven decision-making. Collaborating with cloud engineers, data scientists, and business stakeholders, you’ll ensure high-performing, secure, and reliable data solutions across AWS, Azure, or GCP. In addition to hands-on architecture, you will provide leadership to delivery teams, drive best practices, and mentor associates in building next-generation cloud data platforms.
Snowflake Data Architecture & Engineering
Lead design and implementation of Snowflake-based enterprise data platforms and analytics solutionsArchitect data models, warehouses, data marts, and secure data sharing patterns in SnowflakeOptimize performance through clustering, partitioning, query tuning, and workload managementDefine data governance, access control, and compliance policies in Snowflake environmentsProgramming & Data Engineering
Develop scalable data processing pipelines using Python and PySparkImplement ETL / ELT frameworks integrating structured, semi-structured, and unstructured dataLeverage advanced SQL for data transformations, aggregations, and analytics workflowsStandardize reusable components and frameworks for data ingestion and transformationCloud Platforms & Integration
Architect and deploy data solutions on cloud platforms (AWS, Azure, GCP) with Snowflake as the core engineIntegrate Snowflake with cloud-native services (storage, security, compute, and orchestration)Automate provisioning and configuration of data services using cloud-native or IaC toolsEnsure scalable, resilient, and cost-optimized architecture across multi-environment deploymentsStreaming & Real-Time Data (Nice-to-Have)
Design and implement real-time or streaming data pipelines (Kafka, Kinesis, Event Hubs, Pub / Sub)Integrate Snowflake with streaming platforms for low-latency ingestion and analyticsDefine patterns for hybrid batch + streaming workloadsSecurity, Compliance & Monitoring
Ensure end-to-end data security with encryption, access policies, and secret managementImplement role-based access controls, audit trails, and data compliance practices (GDPR, HIPAA, SOX)Establish monitoring and alerting frameworks for data pipelines and Snowflake workloadsPartner with governance teams to ensure enterprise standards and audit readinessLeadership & Collaboration
Act as a technical leader guiding architects, engineers, and analysts in Snowflake best practicesCollaborate with product owners, business stakeholders, and data science teams to deliver solutionsLead sprint planning, architecture reviews, and backlog refinement for data platform initiativesDrive adoption of modern data engineering practices across agile squadsDocumentation & Knowledge Sharing
Maintain architecture blueprints, technical documentation, and data flow diagramsCreate reusable playbooks, design patterns, and best practice guidelines for Snowflake adoptionConduct knowledge-sharing sessions, peer reviews, and upskilling workshops for delivery teamsSoft Skills & Managerial Readiness
Strong problem-solving and analytical mindset with focus on scalability, cost efficiency, and reliabilityAbility to communicate data architecture concepts to both technical and business stakeholdersProven leadership skills with experience in mentoring, coaching, and team managementOwnership-driven mindset ensuring quality delivery, innovation, and stakeholder satisfaction