出海雷达

Data and Analytics Engineer

开发工程限定地区(需当地身份)
公司Collectiv
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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角色概述数据和分析工程师是集团最多功能的技术顾问,结合了深入的数据工程专业知识与先进的 Power BI 和分析交付能力。这个职位缩小了后端数据平台工作和前端分析之间的差距,使单个顾问能够从原始数据摄入到精细的洞察力准备的仪表板上接送客户。你在微软织物和数据上设计并实现现代湖泊建筑,构建高性能 ELT/ETL 管道,开发丰富的语义模型,并提供复杂的 Power BI 报告,同时担任企业客户的可信赖技术顾问。你在将模糊的业务要求转化为可扩展,文档化的技术解决方案中勃发展,并且同样舒适地参与 Spark 变革或细节调整 DAX 公式。这个角色位于集体数据工程和高级 Power BI 顾问实践交叉口,并针对拒绝选择车道的经验丰富专业人士而设计。关键责任 数据平台 &湖泊工程 ·设计和实施利用微软织物 (OneLake, Lakehouse, Data Factory) 和数据块 (Spark,Delta Lake,SQL Warehouses) 的现代数据平台 · 通过 ELT/ETL 最佳实践构建和优化数据摄入,转型和配套管道 · 开发可扩展的湖泊建筑物支持分析,报告和下游数据产品 · 将业务和分析要求转换为技术数据模型 (星际方案,语义模型,湖泊模型)· 为大型分析工作负载编写,优化和调整 SQL 和 Spark 基于的变革 · 对所有数据工程工作流应用版本控制,CI/CD 概念和代码审查标准 Power BI & Analytics 交付 ·设计和实施使用 Power BI 的复杂数据模型,包括企业级语义层开发 · 创建可衡量的客户决策的视觉吸引力,互动报告和仪表板 ·开发,优化和同行评价 DAX 公式以确保准确性和规模性能 · 将来自各种来源的数据集成到 Power BI 中,利用 SQL 技能来有效地提取和转换 ·确保数据质量,可靠性和可用性在分析平台上 ·通过与客户商业团队合作实现自助服务分析,提供可信的数据集和仪表盘 C

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Role Overview

The Data & Analytics Engineer is Collectiv’s most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities. This role closes the gap between backend data platform work and front-end analytics, enabling a single consultant to take a client from raw data ingestion through to polished, insight-ready dashboards.

You design and implement modern lakehouse architectures on Microsoft Fabric and Databricks, build performant ELT/ETL pipelines, develop rich semantic models, and deliver complex Power BI reports, all while acting as a trusted technical advisor to enterprise clients. You thrive on translating ambiguous business requirements into scalable, well-documented technical solutions and are equally comfortable deep in Spark transformations or fine-tuning DAX formulas.

This role sits at the intersection of Collectiv’s Data Engineering and Senior Power BI Consultant practices and is designed for experienced professionals who refuse to choose a lane.

Key Responsibilities

Data Platform & Lakehouse Engineering

  • Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory) and Databricks (Spark, Delta Lake, SQL Warehouses)
  • Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
  • Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
  • Translate business and analytical requirements into technical data models (star schemas, semantic models, lakehouse patterns)
  • Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads
  • Apply version control, CI/CD concepts, and code review standards to all data engineering workflows

Power BI & Analytics Delivery

  • Design and implement complex data models utilizing Power BI, including enterprise-grade semantic layer development
  • Create visually compelling, interactive reports and dashboards that drive measurable client decisions
  • Develop, optimize, and peer-review DAX formulas for accuracy and performance at scale
  • Integrate data from diverse sources into Power BI, leveraging SQL skills for efficient extraction and transformation
  • Ensure data quality, reliability, and usability across the analytics platform
  • Enable self-service analytics by partnering with client business teams to deliver trusted datasets and dashboards

Client Consulting & Advisory

  • Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations
  • Provide expert guidance on Power BI solutions and data platform decisions; ensure precision in all data discussions
  • Conduct in-depth research on emerging tools and trends to keep clients ahead of the curve
  • Act as a core technical asset in Collectiv’s marketing and business development efforts
  • Facilitate training sessions and support client teams through platform adoption and change
  • Build strong client relationships through clear communication, confidence with stakeholders, and a warm, personable presence
  • Take a proactive approach to delivery and client relationships by anticipating needs, following through on commitments, and looking for opportunities to add value

Engineering Excellence & Collaboration

  • Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals
  • Ensure solutions meet quality criteria related to performance, scalability, security, and maintainability
  • Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv
  • Participate in post-project retrospectives and contribute to Collectiv’s data platform standards

Required Qualifications

  • Bachelor’s degree from an accredited university
  • 5+ years of combined experience in data engineering, analytics engineering, and/or BI consulting
  • Hands-on production experience with Microsoft Fabric and/or Databricks (both strongly preferred)
  • Advanced proficiency in Power BI, including complex data modeling, DAX authoring, and performance optimization
  • Power BI dataset modeling at enterprise scale and embedding/API scenarios
  • Strong SQL skills, including performance tuning and analytical query design
  • Experience designing analytics data models (star schemas, semantic models, lakehouse patterns)
  • Demonstrated ability to integrate data from diverse sources into both data platforms and BI tools
  • Proven track record in a client-facing consulting role, working independently and managing stakeholder expectations
  • Strong written and verbal communication style; data-filled, precise, and client-ready

Preferred Qualifications

  • Experience migrating or modernizing legacy data warehouses to lakehouse architectures
  • Experience integrating data platforms with downstream applications or external APIs
  • Consulting experience spanning multiple clients, industries, or verticals
  • Relevant certifications: Azure Solutions Architect, Azure Data Engineer, Microsoft Fabric (DP-600/DP-700), Databricks certifications
  • Exposure to advanced analytics use cases: AI/ML model integration, predictive dashboards, or advanced statistical analysis

What Success Looks Like

  • Clients trust you as their go-to technical advisor across both data platform and analytics decisions
  • Delivered solutions are scalable, well-documented, secure, and aligned to best practices
  • Consistently maintain a minimum 75% utilization rate by balancing high-quality client delivery, internal collaboration, and business priorities.
  • Business users are fully enabled through reliable semantic models and analytics-ready datasets
  • Power BI reports you build are cited by clients as transformative to their decision-making process
  • You actively contribute to Collectiv’s data platform standards and continuously raise the bar for consulting excellence
  • You serve as a force multiplier; unblocking teammates and elevating the quality of every engagement you touch

Why Collectiv

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in-person team experiences and competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.

Our mission at Collectiv is simple: We help enterprises make better decisions.

Our Core Values

Growth Mindset – Bring solutions, not problems.

Excel with Humility – Be humbly brilliant.

Communicate Actively and Empathetically – Listen, ask, understand, help.

Work Hard, Play Hard – Results are proportional to effort.

Keep Calm and Carry On – Stay cool, calm and Collectiv.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. Our mission: We help enterprises make better decisions.

Originally posted on Himalayas

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