NextRow is You must be a problem solver who looks to elevate the work of everyone around them.
Provides expert guidance to projects to ensure that their processes and deliverables align with the Client 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 work
Ability to write requirements for ETL and BI developers
Ability to write designs for data architecture of data warehouse or data lake solutions or end to end pipelines
Expert in data architecture principles distributed computing knowhow
Intake 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 Client technology teams are working on and the business impact they are having.
End to end data pipeline design security review architecture and deployment overview
Automate reporting views used by management and executives to decide where to invest the organizations time and resources and stay up to date on key company initiatives and products
Create selfservice reporting including a data lake for Clients internal projects and resources
Design for comprehensive data quality management tooling.
QUALIFICATIONS:
6 years of experience within the field of data engineering or related technical work including business intelligence analytics
4 years of experience in architecture for commercial scale data pipelines
Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fastpaced environment inspire change and collaborate with a variety of individuals and organizational partners
Experience designing and building scalable and robust data pipelines to enable datadriven decisions for the business
Exposure to Amazon AWS or another cloud provider
Experience with Business Intelligence tools such as Tableau ThoughtSpot PowerBI and/or Looker
Familiarity 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 skills
Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders
Rigorous attention to detail and accuracy
Aware of and motivated by driving business value
Experience with large scale enterprise applications using big data opensource solutions such as Spark Kafka Elastic Search / Solr and Hadoop HBase
Experience or knowledge of basic programming and DBs technologies (SQL Python Cassandra PostgreSQL AWS Aurora AWS RDS MongoDB Redis Couchbase Oracle MySQL Teradata)
Bachelors degree in Engineering Computer Science Statistics Economics Mathematics Finance a related quantitative field
Advance CS degree is a plus knowledge and experience
Data Architect Snowflake
