Scope :
- We are seeking an experienced Senior Analytics Engineer to join our data team and drive the design, implementation, and maintenance of our data architecture and semantic layers. This role combines deep technical expertise in data modeling with strategic thinking about how data can best serve our organization's analytical needs. The ideal candidate will have extensive experience with modern data stack technologies and a proven track record of building scalable, AI-ready data architectures.
Our Current Technical Environment :
Data Architecture : Deep knowledge of dimensional modeling principles and Kimball methodologySQL : Expert-level SQL skills with ability to write complex queries and optimize performanceCloud Platforms : Extensive experience with Databricks or Snowflake (experience with both preferred)Semantic Layers : Strong understanding of semantic layer concepts and architectures; hands-on experience highly preferredDocumentation : Proven ability and willingness to create and maintain technical documentationWhat you’ll do :
Data Architecture & ModelingDesign and implement dimensional data models following Kimball methodology and best practicesPlan, create, and execute comprehensive data architecture strategies that support both current and future analytical needsBuild and maintain robust semantic layers that enable self-service, BI and analytics, and AI across the organizationEnsure data architectures are optimized for AI and machine learning applicationsTechnical Implementation :Develop and maintain complex SQL queries, data pipelines, and data transformations using Databricks notebooks and workflowsWork extensively with Databricks platform to build scalable data solutions, including Delta Lake, Unity Catalog, and Databricks SQLUtilize Python for data processing, automation, and advanced analytics workflows within Databricks environmentsImplement data quality checks and monitoring systems using Databricks pipelinesDocumentation & Governance :Create and maintain comprehensive documentation for data models, semantic layers, and architectural decisionsEstablish and enforce data governance standards and best practicesWork directly with business stakeholders and BI developers to design data architectures that meet analytical and reporting needsCollaborate cross-functionally to ensure data architecture aligns with business requirements and technical constraintsStrategic Planning & Execution :Lead cross-functional projects to deliver data solutions that drive business valueMentor junior team members and contribute to the growth of the data engineering practiceStay current with emerging technologies and industry best practices in data architectureWhat we are looking for :
Experienced 9+ years of professional with 5+ years of experience in analytics engineering, data engineering, or related fieldProven track record of designing and implementing data architectures at scaleExperience planning and executing complex data projects from conception to deliveryStrong understanding of data warehouse design patterns and best practicesProgramming : Python experience for data processing and automationAI / ML Architecture : Experience designing data architectures optimized for AI and machine learning workloads (significant advantage)Semantic Layer Tools : Hands-on experience with semantic layer tools (huge advantage) - priority on AtScale, but experience with any semantic layer tool such as Cube, MetricFlow, LookML, Tableau Semantic Layer, or PowerBI Semantic Model highly valuedModern Data Stack : Familiarity with additional tools in the modern data ecosystem (dbt, Fivetran, Looker, etc.)Industry Experience : Previous experience in (relevant industry if applicable)Location : India-based role with ability to work evening hours (IST) to ensure overlap with US-based teamsCommunication : Excellent written and verbal communication skills in English - ability to clearly articulate technical concepts to both technical and business stakeholdersCollaboration : Experience working effectively in distributed, cross-timezone teamsOur Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here : Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.