Lead Data Engineer/ Data Architect at Enable Data Incorporated | Torre

Lead Data Engineer/ Data Architect

Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: Employment

Provide your expected compensation while applying
location_on
Remote (for India residents)
Shared by
Emma of Torre.ai
2 months ago

Responsibilities


Enable Data seeking an experienced Azure Data Architect with strong hands-on engineering expertise to design, develop, optimize, and modernize enterprise-scale data platforms. The role combines solution architecture, technical leadership, and individual contributor responsibilities, requiring deep expertise in Azure data services, data engineering best practices, and large-scale data processing using PySpark, Python, SQL, and Azure Databricks.The ideal candidate will be responsible for analyzing existing data products and pipelines, identifying improvement opportunities, leading refactoring and redesign initiatives, and implementing scalable, reliable, and high-performance data solutions on Azure.ResponsibilitiesArchitecture & Solution DesignOverall 15+ years of experience with 10+ years of experience in Data Engineering and Analytics solutions.Design end-to-end data architectures on Microsoft Azure.Define data ingestion, transformation, storage, governance, and consumption strategies.Create scalable, secure, and cost-effective data solutions aligned with business objectives.Establish architectural standards, design patterns, and best practices for data engineering teams.Collaborate with business stakeholders, product owners, and technical teams to translate requirements into technical solutions.Design, develop, and modernize enterprise data platforms on Azure. Analyze, refactor, and redesign existing data pipelines and products while building new scalable data solutions.Act as a hands-on individual contributor with technical leadership responsibilities, including mentoring junior developers and driving best practices.Strong hands-on experience in PySpark, Python, and SQLExpertise in Azure Databricks and Azure data ecosystemExperience designing and implementing scalable data architecturesAbility to analyze, optimize, refactor, and redesign existing data pipelinesDevelop and maintain ETL/ELT solutions and data productsPerformance tuning, troubleshooting, and data quality implementationMentor and guide junior developers and conduct code reviewsCollaborate with cross-functional teams to deliver end-to-end data solutionsRequirementsAzure Data Lake, Azure Data Factory, Azure SynapseData warehousing, lakehouse architecture, and cloud migrationCI/CD, Git, and Agile development practicesRole Type: Senior Individual Contributor with Technical Leadership responsibilities.