[Remote] Sr. Architect | Data & Analytics/Databricks/Snowflake (Remote)

Note: The job is a remote job and is open to candidates in USA. Trace3 is seeking a Data Architect for its Data and Analytics Services team. The role combines hands-on data architecture, technical leadership, client consulting, and delivery oversight to design, modernize, govern, and operationalize data platforms for analytics, AI, reporting, and business decision-making.

Responsibilities

• Lead the design of modern data architectures across cloud, hybrid, and on-premises environments
• Translate business, information, analytics, and AI requirements into durable technical architectures and implementation roadmaps
• Define patterns for data ingestion, transformation, orchestration, storage, modeling, serving, governance, security, and observability
• Design lakehouse, data warehouse, data mesh, data product, and hybrid architectures as appropriate to client needs
• Establish clear separation of responsibilities across raw, refined, curated, and consumption layers
• Define standards for dimensional modeling, semantic models, master and reference data, slowly changing dimensions, data quality, lineage, and metadata
• Evaluate architecture options and communicate trade-offs using clear decision criteria, risks, and consequences
• Produce architecture diagrams, standards, reference architectures, technical designs, and implementation plans
• Bring hands-on experience with at least two of the following platforms: Snowflake, Databricks, and Microsoft Fabric
• Apply platform-native capabilities effectively, including Snowflake data engineering and governance, Databricks Lakehouse and Unity Catalog, or Microsoft Fabric OneLake, Data Factory, and Power BI integration
• Assess platform fit and recommend appropriate technologies based on business requirements, operating model, skills, cost, performance, security, and time to value
• Establish scalable patterns for batch, streaming, event-driven, and incremental data processing
• Design for performance, resiliency, cost transparency, and operational supportability
• Guide teams in productionizing notebooks, pipelines, SQL, Python, reusable frameworks, and infrastructure-as-code
• Define environment promotion and CI/CD practices across development, test, and production environments
• Facilitate discovery sessions, architecture workshops, design reviews, and stakeholder working sessions
• Build trusted relationships with client executives, technology leaders, data leaders, engineers, analysts, and business stakeholders
• Lead current-state assessments and maturity evaluations, then develop prioritized recommendations and roadmaps
• Communicate complex technical concepts clearly to both technical and non-technical audiences
• Contribute to proposals, statements of work, estimates, presentations, demonstrations, and solution shaping
• Identify delivery risks early and partner with project and client leadership to resolve them
• Ensure architecture decisions remain connected to measurable client outcomes, adoption plans, and delivery realities
• Provide technical direction to data engineers, analytics engineers, architects, analysts, and client teams
• Lead architecture reviews and design governance throughout the delivery lifecycle
• Mentor engineers and architects through coaching, pairing, feedback, and knowledge sharing
• Create reusable accelerators, templates, standards, playbooks, and service offerings for the Data and Analytics practice
• Promote engineering practices that reduce technical debt, improve maintainability, and enable teams to operate solutions independently
• Help shape Trace3’s data architecture capabilities, methodologies, and go-to-market offerings
• Incorporate data security, privacy, access control, compliance, retention, and responsible data use into architecture decisions
• Design governance models that balance centralized standards with practical delivery autonomy
• Establish approaches for data quality monitoring, lineage, cataloging, documentation, and stewardship
• Define operational requirements for monitoring, alerting, incident response, disaster recovery, and service-level objectives
• Evaluate and improve platform cost management, capacity planning, workload isolation, and resource utilization

Skills

• 8+ years of experience in data architecture, data engineering, analytics engineering, or a related technical consulting role
• Hands-on production experience with at least two of these three data platforms: Snowflake, Databricks, and Microsoft Fabric
• Demonstrated experience designing and delivering enterprise or large-scale cloud data platforms
• Strong knowledge of data modeling, data integration, lakehouse and warehouse patterns, analytics architecture, and data governance
• Proficiency with SQL and Python, including the ability to review and guide production-quality code
• Experience with data pipeline orchestration, CI/CD, source control, automated testing, and environment promotion
• Experience leading architecture workshops, technical design sessions, or complex delivery initiatives
• Ability to explain technical decisions, alternatives, risks, and business impact to varied audiences
• Demonstrated ability to mentor technical teams and establish repeatable engineering standards
• Experience with all three target platforms: Snowflake, Databricks, and Microsoft Fabric
• Experience with Azure, AWS, or Google Cloud data services
• Familiarity with Power BI, dbt, Kafka, Event Hubs, Airflow, Azure Data Factory, Terraform, Kubernetes, or comparable technologies
• Experience implementing data products, semantic layers, master data, metadata, data catalogs, or data contracts
• Experience with AI-ready data foundations, machine learning platforms, generative AI, or agent-consumable data architectures
• Experience with FinOps, workload optimization, platform operating models, or managed data services
• Relevant certifications in Snowflake, Databricks, Microsoft Fabric, Azure, AWS, Google Cloud, data management, or enterprise architecture
• Experience in a professional services, systems integration, or client-facing consulting environment

Benefits

• Comprehensive medical, dental and vision plans for you and your dependents
• 401(k) Retirement Plan with Employer Match
• 529 College Savings Plan
• Health Savings Account
• Life Insurance
• Long-Term Disability
• Training and development programs
• Major offices stocked with snacks and beverages
• Collaborative and cool culture
• Work-life balance and generous paid time off
• Remote work

Company Overview

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