Cloud Data Solution Architect

As a Data Architect, you will Lead the creation of the strategic enterprise data architecture. Partners with internal stakeholders to define the principles, standards, and guidelines regarding data flows, data aggregation, data migration, data curation, data model, data consumption and data placements. Provide expertise regarding data architecture in critical programs, data strategy and data quality remediation activities. Validates data architecture for adherence to defined policies, standards and guidelines including regulatory directives.Ideal SkillsetAWS, Snowflake, API'sLarge scale Data ArchitectureExtensive Data Design pattern experienceResponsibilitiesProvides expert guidance to projects to ensure that their processes and deliverables align with target state architecture.Defines & develops enterprise data architecture concepts and standards leveraging leading architecture practices and advanced data technologies.Requirements gathering with business stakeholders, domain: agile team work, people data, and hierarchies of project portfolio workAbility to write requirements for ETL and BI developersAbility to write designs for data architecture of data warehouse or data lake solutions or end to end pipelinesExpert in data architecture principles, distributed computing knowhowIntake prioritization, cost/benefit analysis, decision making of what to pursue across a wide base of users/stakeholders and across products, databases and services,Design or approve data models that provide a full view of what the technology teams are working on and the business impact they are having.End to end data pipeline design, security review, architecture and deployment overviewQUALIFICATIONS:6+ years of experience within the field of data engineering or related technical work including business intelligence, analytics4+ years of experience in architecture for commercial scale data pipelinesExperience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partnersExperience designing and building scalable and robust data pipelines to enable data-driven decisions for the businessExposure to Amazon AWS or another cloud providerExperience with Business Intelligence tools such as Tableau, ThoughtSpot, PowerBI and/or LookerFamiliarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.Passionate about programming and learning new technologies; focused on helping yourself and the team improve skillsEffective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholdersRigorous attention to detail and accuracyAware of and motivated by driving business valueExperience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBaseExperience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata)Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, a related quantitative field

Created: 2025-01-07