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

Openkrill; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Trace3 is seeking a Data Architect to join the Data and Analytics Services team. This role blends hands-on architecture, leadership, consulting, and delivery responsibility to design, govern, and operationalize data platforms for analytics, AI, reporting, and decision-making.

The ideal candidate bridges executive conversations with detailed technical design, establishing architecture standards and guiding engineering teams to secure, scalable solutions aligned to business outcomes.

Qualifications

• 8+ years of experience in data architecture, data engineering, analytics, or related consulting.
• Hands-on production experience with at least two platforms: Snowflake, Databricks, or Microsoft Fabric.
• Proficiency with SQL and Python; ability to review production-quality code.

Responsibilities

• Lead architecture workshops and design governance across delivery lifecycles.
• Develop enterprise-scale data platforms and roadmaps aligned with client outcomes.
• Mentor engineers and architects; create reusable accelerators and playbooks.
• Communicate complex technical concepts to diverse stakeholders and executives.

Skills

Data architecture

Cloud data platforms

Stakeholder communication

SQL

Python

Education

Bachelor's degree in CS/IS or related field

Advanced degree preferred

Tools

Snowflake

Databricks

Microsoft Fabric

CI/CD

Job description

Who is Trace3?

Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.

Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!

Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.

Ready to discover the possibilities that live in technology?

Come Join Us!

Street-Smart - Thriving in Dynamic Times

We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems.

Juice - The “Stuff” it takes to be a Needle Mover

We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like.

Teamwork - Humble, Hungry and Smart

We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.

Role Summary

Trace3 is seeking a Data Architect to join the Data and Analytics Services team. This role combines hands‑on architecture, technical leadership, consulting, and delivery responsibility. The Data Architect will help clients design, modernize, govern, and operationalize data platforms that support analytics, artificial intelligence, reporting, and business decision‑making.

The ideal candidate can move comfortably between executive conversations, architecture workshops, detailed technical design, and delivery oversight. You will establish practical architecture standards, guide engineering teams, evaluate platform trade‑offs, and help ensure that solutions are secure, scalable, maintainable, and aligned to business outcomes.

This is a client‑facing role with responsibility for both solution quality and team enablement.

Architecture and solution design

• - 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.

Data platform expertise

• - 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.

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.

Required qualifications

• - 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 abili