Key skills
AWSAzureCloudETLAIMLELTData EngineeringData WarehousingAnalyticsSnowflakeDatabricksGoogle CloudPresentation SkillsSales
About this role
Role Overview
- Lead architecture and design activities for data, analytics, and AI initiatives.
- Define end-to-end data platform architectures, including ingestion, storage, transformation, governance, and consumption layers.
- Develop target-state architectures, migration strategies, and modernization roadmaps.
- Conduct architecture assessments and provide recommendations aligned to business objectives.
- Collaborate with engineering teams to ensure successful implementation of architectural designs.
- Establish architecture standards, best practices, and reusable patterns.
- Design and implement modern cloud-based data architectures.
- Lead architecture efforts involving Snowflake, Databricks, and major cloud platforms (AWS, Azure, and/or Google Cloud).
- Architect solutions leveraging data lakes, lakehouses, data warehouses, streaming platforms, and AI/ML services.
- Evaluate and recommend technologies based on client requirements, scalability, performance, security, and cost considerations.
- Serve as a trusted advisor to client stakeholders, including technical leaders, architects, and business executives.
- Facilitate architecture workshops, discovery sessions, and strategy discussions.
- Translate business requirements into actionable technical architectures and implementation plans.
- Present architectural recommendations and executive-level findings to client audiences.
- Support sales pursuits through solution design, proposal development, and client presentations.
- Participate in discovery meetings, capability discussions, and architecture assessments for prospective clients.
- Contribute to estimates, statements of work, and technical responses for RFPs and proposals.
- Help shape solution offerings, accelerators, and reusable assets within the Data & AI practice.
- Mentor architects and engineers across the organization.
- Contribute to internal knowledge sharing, architecture standards, and technical communities of practice.
- Stay current on emerging trends in data platforms, analytics, AI, and cloud technologies.
- Support recruitment activities through interviews and technical evaluations.
Requirements
- 12+ years of experience in data architecture, data engineering, analytics, or related disciplines.
- Proven experience designing enterprise-scale data platforms and analytics solutions.
- Strong expertise in Snowflake architecture, implementation, optimization, and best practices.
- Strong experience with Databricks, including Lakehouse architecture and modern data engineering patterns.
- Experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
- Deep understanding of data warehousing, data lakes, dimensional modeling, and modern data architectures.
- Experience with ETL/ELT frameworks and data integration technologies.
- Strong understanding of data governance, security, metadata management, and data quality concepts.
- Experience leading technical teams and architecture initiatives.
- Excellent written, verbal, and presentation skills.
- Ability to communicate effectively with both technical and executive audiences.
Tech Stack
- AWS
- Azure
- Cloud
- ETL
Benefits
- Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
- Flexible Spending Accounts (Medical, Transit, and Dependent Care)
- Employer Paid Life Insurance and AD&D Coverages
- Health Savings account paired with our low-cost High Deductible Medical Plan
- 401(k) Safe Harbor Retirement plan with employer match with immediately vest