Trace3 - Sr. Architect | Data & Analytics/Databricks/Snowflakes (Remote)
Requirements
• 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. • Willingness and ability to travel periodically for client engagements, team meetings, or industry events. • 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. • What success looks like • During the first year, the Data Architect will: • Earn trust with clients and delivery teams as a practical, outcome-oriented technical leader. • Deliver architecture recommendations that are adopted and successfully translated into implementation plans. • Improve consistency through reusable patterns, templates, standards, and reference architectures. • Help teams deliver secure, scalable, observable, and cost-conscious data solutions. • Strengthen Trace3’s expertise across Snowflake, Databricks, and Microsoft Fabric. • Mentor technical resources and raise the quality of architecture and engineering decisions across engagements. • Contribute to new offerings, proposals, and client conversations that grow the Data and Analytics Services practice. • Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary.
Responsibilities
• 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. • Data platform expertise • Bring hands-on experience with at least two of the following platforms: Snowflake, Databricks, and Microsoft Fabric. • 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. • Client delivery and consulting • 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. • Technical leadership and enablement • 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. • Governance, security, and operations • 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.
Benefits
• $170,000—$200,000 USD • 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, and Long-Term Disability • Competitive Compensation • Training and development programs • Major offices stocked with snacks and beverages • Collaborative and cool culture • Work-life balance and generous paid time off • Our Commitment • At the core of Trace3's DNA is our people. We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership, character, and passion in all that we do. • We’re committed to fostering an inclusive workplace where everyone feels respected, valued, and empowered to grow. We recognize that embracing diversity drives innovation, improves outcomes, fosters collaboration, boosts teammate satisfaction, and builds a more inclusive culture.
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