Data Solution Design Lead
Brooksource - New York, New York, United States,Work at Brooksource
Overview
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Overview
Your WorkIn this role, you will:· Expert in driving strong collaboration with business and technology stakeholders to define product strategy, business, and technology requirements, use cases, and new capabilities.· Develop and maintain technology inventory and definitions, including application reference models, guiding principles, standards, patterns, and usage guidelines.· Design and implement cloud solutions. Ability to perform risk identification and mitigation. Able to provide issue management recommendations as required.· Able to articulate best practices around advanced cloud-based solutions and provide advice on strategies for migrating existing workloads to the cloud.· Able to provide recommendations on designing cost effective data infrastructure that supports complex data analytics services.· Socialize and champion technology related ideas and plans with internal IT teams and business stakeholders.· Exhibit thought leadership. Evangelize data and analytics solutions that benefit business stakeholders.· Familiarity with DevOps best practices and automation of documentation, testing, build, deployment, configuration, and monitoring· Work closely with data engineers and data analyst teams, utilizing agile methodologies to plan and prioritize product backlog.· Partner with Portfolios to enable, architect, implement and define the technical requirements, principles and models that guide data solution decisions for on-prem, cloud and hybrid ecosystem· Provide comprehensive analytical thinking to ensure time to market, cost impact and value are properly understood, estimated, and controlled across people, process, and technology.· Monitor and analyze the performance of data product, identify areas of improvement or optimization to enhance the data product and its features
Your Knowledge and Experience· Master’s degree required, or bachelor’s degree and 15+ years of experience.· Azure or Snowflake Cloud Certification is a must.· Expert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.· Hands on experience with SQL, Python, Informatica PowerCenter/IICS, Collibra, Reltio Master Data Management, DBT Cloud, DBT core, Denodo, Synapse and Golden Gate replication.· Prior experience in data product management is a must. This includes skills with creating roadmaps, converting business requirements to technical stories, feature prioritization and working collaboratively across cross-functional teams.· Expertise in SQL and Python is a must. Strong background with ETL, ETL data pipeline development is required.· Excellent Communication skills for engaging with stakeholders, facilitating discussions, and conveying complex technical concepts. Ability to lead and influence stakeholders while maintaining data quality standards and delivering a high-quality data product is desired· Advance knowledge in designing solutions for large data warehouses with a good understanding of cluster and parallel architecture.· Expert in one or more of NoSQL and database appliances and platforms (Snowflake, Synapse, Databricks)· Adept in agile methodologies, such as Scrum or Kanban, is required for managing product backlog, sprint planning and facilitating agile development.· Knowledgeable of Source Control and Project Management tools like Bitbucket, Git, and JIRA