Senior Consultant - Data Engineering & Analytics

Senior Consultant – Data Engineering3Ci, an MAU company, is an IT professional services and technology consulting firm specializing in full-stack software development, data engineering, process intelligence, and digital transformation. We partner with leading enterprises to accelerate transformation and deliver measurable business outcomes. As enterprise AI programs accelerate across every industry, 3Ci's Data Engineering practice has become one of our most strategically critical capabilities — building the modern data platforms, analytics infrastructure, and AI-ready data architecture that power clients' most important technology investments.As a Senior Consultant – Data Engineering, you will serve as an autonomous technical leader who owns end-to-end delivery of moderately complex data platform and analytics engineering engagements. You are 3Ci's technical authority on assigned programs — trusted to make architecture decisions independently, manage director-level client relationships, and represent our Data Engineering practice without daily supervision. You'll drive the full data platform lifecycle: from source system discovery and architecture design through pipeline build, data modeling, analytics enablement, and DataOps operationalization. AI-augmented engineering is a core expectation at this level — you'll lead AI adoption on your engagements while building 3Ci's internal AI data engineering knowledge base.Data Platform Architecture & DeliveryLead end-to-end delivery of data platform engagements: architecture design, pipeline engineering, data modeling, and analytics enablementOwn engagement governance: technical scope, schedule, quality, and stakeholder communicationDesign cloud-native data architectures: lakehouse patterns (Databricks, Snowflake, Microsoft Fabric), medallion architecture, data mesh domain designLead data platform migrations: legacy DW to cloud, on-premises to cloud-native, and platform consolidationsEstablish DataOps practices: CI/CD for data pipelines, automated testing frameworks, and data observability toolingAdvanced Data EngineeringDesign and implement enterprise-grade dbt projects: multi-project architecture, packages, macros, semantic layer, and governanceBuild streaming and real-time data pipeline architectures: Kafka, Spark Streaming, Azure Event Hubs, or equivalentDesign and implement data quality frameworks: multi-layer validation, SLA monitoring, anomaly detection, and data contractsDevelop AI-ready data infrastructure: feature stores, vector databases, embedding pipelines, and model serving data layersClient Technical AdvisoryServe as primary data engineering advisory contact for client data directors, platform architects, and engineering managersAdvise clients on data platform strategy: build vs. buy decisions, cloud platform selection, and DataOps maturityLead technical architecture reviews, data discovery workshops, and platform roadmap sessionsIdentify expansion opportunities in active accounts and surface growth opportunities to practice leadershipAI & Intelligent Data EngineeringLead integration of AI capabilities into data platform delivery: LLM-powered transformation, AI-assisted pipeline generation, and intelligent data quality monitoringDesign and implement AI-ready data architectures: vector stores, RAG data pipelines, feature engineering platforms, and embedding infrastructureBuild and maintain 3Ci's Data AI Playbook contributions: AI architecture patterns, prompt libraries, and tool integration guidesCoach Consultants and Junior Consultants on AI-augmented data engineering techniques and responsible AI data useWhat We're Looking ForBachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field5–8 years of data engineering or analytics engineering experience in client-facing consulting or complex enterprise environmentsDemonstrated end-to-end ownership of cloud data platform builds or migrationsDeep expertise in dbt, a cloud data platform (Snowflake, Databricks, BigQuery, or Fabric), and a modern orchestration toolProven ability to design AI-ready data architectures: vector databases, embedding pipelines, or RAG data infrastructureDirector-level client technical relationship management experienceStrong DataOps and data quality framework design capabilityPreferred Certifications & Credentialsdbt Certified Analytics Engineer — required within 6 months if not already heldDatabricks Certified Data Engineer ProfessionalSnowflake SnowPro Advanced: Data EngineerMicrosoft Certified: Azure Data Engineer Associate (DP-203) or Fabric Analytics EngineerAWS Certified Data Analytics – SpecialtyAI/ML data platform certification: Azure AI Engineer, AWS ML Specialty, or equivalentWhy 3CiSenior Consultants at 3Ci own their engagements — the architecture, the client relationships, and the outcomes. You'll work on enterprise-scale data platform programs with the autonomy to make real technical decisions, and the support of a team that's deeply invested in your growth. Whether your next step is deepening your technical mastery as a Principal or taking on people leadership as a Manager, we'll build that path with you. 3Ci is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.