Job Description
Senior Data Architect
If you have a passion for all things data, an inquisitive mind to learn, an eye for detail, a commitment to the highest quality of work, and a desire to take on additional responsibilities for growth, we encourage you to apply for this position.
Immediate responsibilities:
- Understand business domain, key initiatives and quality criteria
- Lead acquisition and curation of numerous data feeds for building a data lakehouse
- Research new data sources to identify useful data for business needs
- Explore and use vendor data tools for various use cases
- Analyze raw data to understand content, relationships and source data quality
- Design optimal database objects to curate datasets that serve data and analytics purposes
- Write scripts to synthesize and transform data to curate most accurate datasets
- Define and implement data quality checks to proactively catch problems before they impact production data
- Create basic documentation for end-to-end data flow
- Serve as the Data SME and collaborate with application developers to build products and features
- Analyze business asks and extract relevant datasets required to answer questions
- Collaborate with data science and technology teams to drive initiatives
- Work with data vendors on key requirements and issue resolution
- Coach and supervise junior data analyst in their supporting role
- Good to have: Knowledge of U.S. Insurance domain
Areas for growth:
- Lead end-to-end data and analytics product development
- Enhance data architecture to meet evolving business needs
- Collaborate with business and apply data science techniques to derive useful insights from data
Other requirements:
- Polished written and verbal communication
- Prioritization and time management skills
- Strong results-oriented work ethic
- Engineering from a top-tier institute
- 4+ years of relevant experience
- Proficient in SQL, Python and Relational Data Modeling
If you have a passion for all things data, an inquisitive mind to learn, an eye for detail, a commitment to the highest quality of work, and a desire to take on additional responsibilities for growth, we encourage you to apply for this position.
Immediate responsibilities:
- Understand business domain, key initiatives and quality criteria
- Lead acquisition and curation of numerous data feeds for building a data lakehouse
- Research new data sources to identify useful data for business needs
- Explore and use vendor data tools for various use cases
- Analyze raw data to understand content, relationships and source data quality
- Design optimal database objects to curate datasets that serve data and analytics purposes
- Write scripts to synthesize and transform data to curate most accurate datasets
- Define and implement data quality checks to proactively catch problems before they impact production data
- Create basic documentation for end-to-end data flow
- Serve as the Data SME and collaborate with application developers to build products and features
- Analyze business asks and extract relevant datasets required to answer questions
- Collaborate with data science and technology teams to drive initiatives
- Work with data vendors on key requirements and issue resolution
- Coach and supervise junior data analyst in their supporting role
- Good to have: Knowledge of U.S. Insurance domain
Areas for growth:
- Lead end-to-end data and analytics product development
- Enhance data architecture to meet evolving business needs
- Collaborate with business and apply data science techniques to derive useful insights from data
Other requirements:
- Polished written and verbal communication
- Prioritization and time management skills
- Strong results-oriented work ethic
- Engineering from a top-tier institute
- 4+ years of relevant experience
- Proficient in SQL, Python and Relational Data Modeling
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