Data Architect - W6602
Job Summary
Job Description
As a Data Architect at Nisum, you'll design and maintain scalable data pipelines, build API integrations, lead the data team, collaborate with analytics and business teams, ensure data quality, and design data-oriented solutions using best practices. 10+ years of ETL and Data Engineering experience required.
Must have:
- ETL & Data Engineering
- Azure Data Services
- SQL & NoSQL
- Python & Scala
Good to have:
- Data Governance
- Data Lakehouse
- Spark & Hive
- Object-Oriented Scripting
Perks:
- Hybrid Work
- Fortune 500 Clients
9 skills required
Job Details
Nisum is a leading global digital commerce firm headquartered in California, with services spanning digital strategy and transformation, insights and analytics, blockchain, business agility, and custom software development. Founded in 2000 with the customer-centric motto “Building Success Together®,” Nisum has grown to over 1,800 professionals across the United States, Chile,Colombia, India, Pakistan and Canada. A preferred advisor to leading Fortune 500 brands, Nisum enables clients to achieve direct business growth by building the advanced technology they need to reach end customers in today’s world, with immersive and seamless experiences across digital and physical channels.
What You'll Do
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Working as an individual contributor while leading the data team
- Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility, and foster data-driven decision-making across the organisation.
- Lead and drive the team to deliver solutions on time and quality that committed.
- Write unit/integration tests, contributes to engineering wiki, and documents work.
- Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
- Define company data assets (data models), spark, spark SQL, and hive SQL jobs to populate data models.
- Work closely with all business units and engineering teams to develop a strategy for long term data engineering platform architecture
- Design of data-oriented solutions (end to end) using design patterns and best market practices.
- Define and implement governance, access and security policies
- Ensure optimal use of resources both in cost and performance
- Ensure that non-functional requirements are taken care
- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
What You Know
- A minimum of above 10 years of ETL and Data Engineering experience.
- Experience in solutions architect or senior data engineer roles, in the design of data-intensive solutions (streaming, batch, migrations)
- Experience in modern data ingestion processes (datalake, datawarehouse, lakehouse)
- Experience in data governance models
- Experience with relational SQL and NoSQL databases.
- Experience with Azure cloud Data services
- More than 8 years of experience in a Data Engineering & ETL Tools (like Teradata, Ab Initio) and Azure
- Data Engineer with Azure functions and Azure Data Factory, Databricks and PySpark
- Experience with object-oriented/object function scripting languages: Python, Scala, etc.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
Nisum is an Equal Opportunity Employer and we are proud of our ongoing efforts to foster diversity and inclusion in the workplace.
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