Enterprise Data Architect

1 day ago

surat, India beBeeData Full time

Design a Scalable Data ArchitectureEpsilon is looking for a skilled data architect to design, build and deploy scalable data solutions. This pivotal role will engage with both onshore and offshore teams.Our ideal candidate will have experience in designing and implementing data warehouses, data lakes, and operational data stores. They will be proficient in Amazon AWS and/or Microsoft Azure cloud platforms and familiar with ETL/ELT tools such as Matillion, Fivetran, and SAP BI.Key Responsibilities:Design and implement end-to-end data delivery solutions from acquisition through analysis, visualization, and decision supportDevelop data acquisition and scoping processes, preparation to validation, transformation, through analysis into visualization, insights, and decision support modelsImplement scalable ETL/ELT processes using tools such as Matillion, Fivetran, SAP BI, Trifacta, and custom SQL and Python scriptsAnalyze existing architecture diagrams, data dictionaries, lineage documentation, and system integration maps to quickly assess and document existing data infrastructure, pipelines, and dependencies across complex enterprise environmentsLayout the foundations of data architecture to meet business objectives, project budgets, and timelines, and client's technology goals and constraintsLead data discovery, scoping, model development, and presentation effortsPresent architectural designs for peer and client review, responding thoughtfully to challenges and feedbackIncorporate regulatory compliance, data governance, and data quality standards into all designsOptimize effectiveness and efficiency considering data volumes, refresh frequency, and platform capabilities across the end-to-end data stackWhat You'll Gain:This role offers a unique opportunity to shape the future of capital markets technology by combining scalable, innovative products with deep domain expertise to solve complex client challenges.As a data architect at Epsilon, you'll work at the intersection of innovation and experience, leveraging modern cloud platforms, advanced analytics tools, and emerging technologies while applying deep understanding of capital markets to deliver solutions that truly work in production environments.Key Qualifications:10–15 years of progressive experience in data architecture and business intelligence, with a strong hands-on delivery record demonstrating an efficient and effective record of moving from strategy to successful implementationProven ability to architect and implement data warehouses, data lakes, data marts, operational data stores, data hubs, and transactional systems, data migration, re-platforming, major upgrades projectsProficiency in Amazon AWS and/or Microsoft Azure cloud platforms to implement cloud data services, security configurations, and cost-optimization strategiesProgramming languages and development tools: Python, Java, Shell, .Net, and JavaScriptAnalytical tools: SnowPark, PySparkData platforms: Snowflake, SQL server, Oracle, OLAP, OLTP, CubeWorkload orchestration and automation: TidalETL/ELT tools: Matillion, Fivetran, SAP BIFluency with processing JSON, XML, CSV, and other data formatsSolid experience configuring and deploying integrated solutions into production environments with DevOps tools such as Git, Bitbucket, and Jenkins

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