
501 - 1000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Private Equity Round on 2017-06
Consulting • Healthcare • Logistics
Trace3 is an IT consulting organization specializing in AI, data, cloud, and cybersecurity solutions. Founded 20 years ago, the company focuses on empowering organizations to adapt to the evolving IT landscape by providing strategic consulting services and innovative solutions. Trace3 has a strong presence in the technology consulting space, with partnerships in areas such as artificial intelligence, data analytics, cloud solutions, and security consulting. They aim to help businesses run, grow, and transform by leveraging cutting-edge technology to drive results in the data-driven economy. Trace3 is also involved in cloud migration, AI data readiness, and venture capital relations to offer a holistic technology consulting experience.
🔥 5 minutes ago
🇺🇸 United States – Remote
💵 $170k - $200k / year
⏰ Full Time
🟠 Senior
📉 Data Analyst
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501 - 1000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Private Equity Round on 2017-06
Consulting • Healthcare • Logistics
Trace3 is an IT consulting organization specializing in AI, data, cloud, and cybersecurity solutions. Founded 20 years ago, the company focuses on empowering organizations to adapt to the evolving IT landscape by providing strategic consulting services and innovative solutions. Trace3 has a strong presence in the technology consulting space, with partnerships in areas such as artificial intelligence, data analytics, cloud solutions, and security consulting. They aim to help businesses run, grow, and transform by leveraging cutting-edge technology to drive results in the data-driven economy. Trace3 is also involved in cloud migration, AI data readiness, and venture capital relations to offer a holistic technology consulting experience.
• Lead the design of modern data architectures across cloud, hybrid, and on-premises environments • Translate business, information, analytics, and AI requirements into 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 • Produce architecture diagrams, standards, reference architectures, technical designs, and implementation plans • Evaluate Snowflake, Databricks, and Microsoft Fabric platform options and trade-offs • Establish scalable patterns for batch, streaming, event-driven, and incremental data processing • 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 relationships with client executives, technology leaders, data leaders, engineers, analysts, and business stakeholders • Lead current-state assessments and maturity evaluations and develop prioritized recommendations and roadmaps • Contribute to proposals, statements of work, estimates, presentations, demonstrations, and solution shaping • 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 • Incorporate data security, privacy, access control, compliance, retention, and responsible data use into architecture decisions • 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
• 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 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
• 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 • Competitive Compensation • Training and development programs • Major offices stocked with snacks and beverages • Collaborative and cool culture • Work-life balance • Generous paid time off
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