Position Details

Type Full-Time

Experience senior

Exp. Years 10+ years

Education Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

Category Data & Analytics

About this role

Lead the architecture and implementation of an enterprise data platform, focusing on scalable Databricks Lakehouse solutions and AI-enabled data pipelines.

Key Responsibilities

Architect enterprise data platform
design AI-ready data models
define governance standards
lead data engineering & BI collaboration
mentor engineers

Technical Overview

Design end-to-end data solutions across lakehouse architectures, govern data with metadata and lineage, optimize for cost/performance at scale, and mentor engineering teams.

Ideal Candidate

The ideal candidate is a senior data architect with 10+ years in data and analytics, deep expertise in Databricks Lakehouse on AWS/GCP, and hands-on experience designing AI-ready, enterprise-scale data platforms.

Must-Have Skills

10+ years of tech industry experience5+ years experience in architecting and implementing big data strategies5+ years expertise with cloud-based data platforms (DatabricksAWSSnowflakeSpark)1+ year with AI orchestrationautomated modelingor other AI-enabled data engineeringDeep knowledge of data modeling using Erwin or similar tooling (3NFdimensional/star schema)Experience with DatabricksSparkHadoopand NoSQL databasesExperience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbtTalendAzure Data FactorySparkSpark StreamingExperience with confluent Kafka real-time data processing and API platformsStrong understanding of data governancelineageand complianceExperience optimizing for cost and performance at scale (e.g.cachingpartitioning strategies)Bachelor's or Master's degree in Computer ScienceInformation Systemsor a related field

Nice-to-Have Skills

AI agent modelsExperience working with AI agents consumption by other AI agents

Tools & Platforms

DatabricksAmazon Web ServicesSnowflakeSparkdbtTalendAzure Data FactoryKafkaConfluentErwin

Required Skills

Databricks LakehouseDatabricksAmazon Web ServicesSnowflakedbtTalendAzure Data FactoryKafkaConfluent KafkaErwin3NFdimensional/star schemaETLData WarehousingData GovernanceMetadataData QualityData ModelingSparkHadoopNoSQL

Hard Skills

Databricks LakehouseDatabricksAmazon Web ServicesAmazon Web Services (AWS)SnowflakedbtTalendAzure Data FactoryKafkaConfluent KafkaErwin3NFdimensional/star schemaETLData WarehousingData GovernanceMetadataData QualityData ModelingSparkHadoopNoSQLreal-time processingAPIs

Soft Skills

Excellent communicationInterpersonal skillsCollaborationMentoringLeadershipBusiness communication

Industry & Role

Industry Entertainment & Media

Job Function Architect and deliver enterprise data platforms for analytics and AI

Role Subtype Data Architect

Tech Domains Amazon Web Services, Azure, Google Cloud Platform, Kafka, Databricks, Snowflake, dbt, Talend, Apache Spark, SQL / PostgreSQL

Keywords for Your Resume

data architectdatabricks lakehousedatabricksawsamazon web servicessnowflakedbttalendazure data factorykafkaconfluent kafkadata governancemetadatalineagedata qualityerwindata modelingetldata warehousingsparkhadoopnosqlreal-timeai orchestrationai-enabledenterprise data platformdata platformenterprise analyticsDatabricks LakehouseDatabricksAWSAmazon Web ServicesSnowflakeTalendAzure Data FactoryKafkaConfluent Kafka

Deal Breakers

Sponsor visa required, Not specified

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