Lead Data Architect for Large-Scale Data Warehousing and Analytics
2 weeks ago
We are seeking an experienced Lead Data Architect to lead our team in designing and implementing large-scale data warehousing and analytics solutions. As a key member of our data strategy team, you will be responsible for architecting and implementing data management processes, including data sourcing, integration, and transformation.
About the Role- Lead the design and implementation of data management processes, including data sourcing, integration, and transformation.
- Develop tools to improve data flows between internal/external systems and the data lake/warehouse.
- Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.
- Evaluate business needs and requirements.
- Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake.
- At least 5+ years of experience as a Lead in data warehousing and analytics.
- Strong knowledge in scripting languages like Python, UNIX shell, and Spark is required.
- Understanding of distributed systems and cloud technologies (AWS) is highly preferred.
- Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake.
- Strong understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.
- Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility.
- Able to document the processes and steps.
- Develop and maintain datasets.
- Improve data quality and efficiency.
- Collaborate with DevOps Engineer to improve system deployment and monitoring process.
- Competitive salary: $150,000 - $200,000 per year.
- Bonuses and benefits package.
- Opportunities for professional growth and development.
- Dynamic and agile work environment.
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