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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