Lead Data Engineer

Lead Data Engineer Key Highlights ????? Lead the end-to-end design and build of a brand-new, greenfield analytics ecosystem? Architect data pipelines, orchestration, warehousing, and BI layers from the ground up???? Build scalable ETL/ELT pipelines, data models, and analytical experiences across Databricks, Zoho, Qlik, and modern data stack tools???? Establish foundational engineering standards, best practices, governance, and data quality frameworks???? Operate in a high-ambiguity, startup-style environment where technical leadership shapes the entire platformPosition OverviewWe are seeking a Lead Data Engineer to build a modern analytics ecosystem for the organization.This is a highly visible, greenfield role that requires deep technical expertise, strong architectural instincts, and the ability to operate independently in an emerging environment.You will design and implement the full data platform — including orchestration, ingestion, modeling, warehousing, and BI layers — while collaborating closely with product and business stakeholders.This role is ideal for someone who thrives in ambiguity, loves building from scratch, and brings a high standard of technical excellence.Key ResponsibilitiesPlatform Architecture & EngineeringLead architecture and foundational design for a new analytics ecosystemBuild cloud-based data warehouses or lakehouses using Databricks or similar technologiesDesign scalable ETL/ELT pipelines, orchestration layers, and transformation frameworksEstablish best practices across data modeling, quality, lineage, and governanceDefine engineering standards and deployment patterns for long-term scalability Data Engineering & DevelopmentBuild robust ingestion frameworks, structured and unstructured data pipelines, and transformation layersDevelop curated data models that support self-service analytics and BI capabilitiesImplement automation, monitoring, and testing patterns for reliable data deliveryPartner with engineers, analysts, and business teams to translate requirements into high-quality data products Analytics & BI EnablementBuild analytical and BI experiences end-to-end using tools such as Zoho, Qlik, or similar platformsEnable scalable self-service analytics workflows and governed data accessSupport dashboard development, semantic layers, and metrics definitionsDrive adoption of modern analytics tooling and standards across the business Leadership & CollaborationProvide technical leadership in a small, senior-level teamOperate effectively in high-ambiguity environments, driving clarity and structureCollaborate closely with product, engineering, and business stakeholdersDocument architecture, data flows, and platform standardsQualificationsRequiredBachelor's degree in Computer Science, Information Systems, Engineering, or related field8+ years in data engineering, BI platform engineering, analytics engineering, or similar roles Proven experience building data platforms or warehouses from the ground up Strong hands-on expertise in ETL/ELT, orchestration, and transformation pipelinesAdvanced experience designing cloud-based data warehouses or lakehouse environmentsAbility to lead greenfield platform development and make foundational architectural decisionsStrong proficiency building analytical/BI experiences end-to-endAbility to collaborate closely with cross-functional partners and translate needs into scalable solutionsExceptional skill across the full lifecycle: ingestion ? modeling ? quality ? delivery Preferred Experience with Databricks , Spark, or comparable lakehouse technologies Familiarity with Zoho , Qlik , or modern BI tools Experience enabling self-service analytics environmentsStrong understanding of modern data stack tooling (orchestration, automation, monitoring)Background working in startup-style, greenfield, or high-growth teamsRelevant certifications (Azure, Databricks, BI tools)About UsWe build modern, scalable, and high-quality data platforms that empower teams to make intelligent decisions.By combining strong engineering fundamentals, modern cloud technologies, and thoughtful analytics design, we help organizations transform raw data into meaningful insights.Why Join UsThis is a rare opportunity to build an entire analytics ecosystem from scratch.You'll influence architecture, shape engineering standards, partner closely with business leaders, and own a platform that will scale for years to come.If you want to create, innovate, and lead in a greenfield environment — this is the role for you.