Data Architect AWS, Snowflake
Salary undisclosed
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Hybrid in Houston, TX 4x onsite. Mon- Thursday in office Friday work from home- Flexible
Must haves:
- Database: Snowflake / aws postrges/Oracle/, sql server/ aurora
- ETL tool: DBT/Matillion/Informatica, AWS glue
- Language: Python /javaScript /SQl/NoSQL,spark, pyspark
- Event Streaming platforms: Amazon Kinesis/ Apache Kafka/ Apache Spark / Qlik
- AWS: S3 / SNS/SQS/ Lambda / glue/ec2/iam/cloud formation**
- Data Modelling: Erwin
The Principal Data Architect will lead the design, implementation, and optimization of enterprise-wide data architectures ensuring they align with business objectives and technological advances. Working closely with cross-functional teams, data engineers, analysts, and business stakeholders, the Principal Data Architect will analyze, design and implement scalable, reliable and efficient data architectures and solutions to meet business requirements and translate business needs into appropriate data deliverables.
Requirement:
- 5+ years of experience with information modeling, information visualization, data modeling, data management technologies, data integration, data sourcing, data analytics, data warehousing, metadata, semantics and ontologies.
- Experience architecting data products in Snowflake or other cloud data platforms
- 3+ years experience developing AWS data pipelines (Glue, Kinesis, S3, etc.)
- 5+ years in ELT or data warehouse data loading design and development. Experience with DBT a major plus.
- Familiarity with modern data management concepts including Cloud-based Datawarehousing, Big Data stack, NoSQL, in-memory DBMS and data caching; graph databases.
- Familiarity and experience in data protection and information security.
- Strong understanding of large scale system, information and technology architectures, including application integration patterns, messaging, service-oriented architecture, information models, and data lineage.
- Hands-on experience with data and process modeling tools (e.g., ERWin,ER Studio, Lucidchart), and working knowledge of programming languages such as: Python, etc.
- Demonstrated ability to work individually and as a part of the team in a collaborative manner.
- Experience with Agile/Scrum and SDLC.
- Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection.
- Ability to work with business as well as Digital stakeholders.
- Strong written and oral communication skills with ability to work with users, peers and management.
- Strong interpersonal skills.
- Ability to work independently and as part of a team to successfully execute projects.
- Highly motivated, self-starter with problem solving skills.
- Ability to multitask and meet aggressive deadlines efficiently and effectively.
- Extraordinary attention to detail and accuracy.
- Demonstrate ability to learn and understand business processes quickly.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Hybrid in Houston, TX 4x onsite. Mon- Thursday in office Friday work from home- Flexible
Must haves:
- Database: Snowflake / aws postrges/Oracle/, sql server/ aurora
- ETL tool: DBT/Matillion/Informatica, AWS glue
- Language: Python /javaScript /SQl/NoSQL,spark, pyspark
- Event Streaming platforms: Amazon Kinesis/ Apache Kafka/ Apache Spark / Qlik
- AWS: S3 / SNS/SQS/ Lambda / glue/ec2/iam/cloud formation**
- Data Modelling: Erwin
The Principal Data Architect will lead the design, implementation, and optimization of enterprise-wide data architectures ensuring they align with business objectives and technological advances. Working closely with cross-functional teams, data engineers, analysts, and business stakeholders, the Principal Data Architect will analyze, design and implement scalable, reliable and efficient data architectures and solutions to meet business requirements and translate business needs into appropriate data deliverables.
Requirement:
- 5+ years of experience with information modeling, information visualization, data modeling, data management technologies, data integration, data sourcing, data analytics, data warehousing, metadata, semantics and ontologies.
- Experience architecting data products in Snowflake or other cloud data platforms
- 3+ years experience developing AWS data pipelines (Glue, Kinesis, S3, etc.)
- 5+ years in ELT or data warehouse data loading design and development. Experience with DBT a major plus.
- Familiarity with modern data management concepts including Cloud-based Datawarehousing, Big Data stack, NoSQL, in-memory DBMS and data caching; graph databases.
- Familiarity and experience in data protection and information security.
- Strong understanding of large scale system, information and technology architectures, including application integration patterns, messaging, service-oriented architecture, information models, and data lineage.
- Hands-on experience with data and process modeling tools (e.g., ERWin,ER Studio, Lucidchart), and working knowledge of programming languages such as: Python, etc.
- Demonstrated ability to work individually and as a part of the team in a collaborative manner.
- Experience with Agile/Scrum and SDLC.
- Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection.
- Ability to work with business as well as Digital stakeholders.
- Strong written and oral communication skills with ability to work with users, peers and management.
- Strong interpersonal skills.
- Ability to work independently and as part of a team to successfully execute projects.
- Highly motivated, self-starter with problem solving skills.
- Ability to multitask and meet aggressive deadlines efficiently and effectively.
- Extraordinary attention to detail and accuracy.
- Demonstrate ability to learn and understand business processes quickly.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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