Data Architect/Sr Data Architect
As a Cloud Architect on our Professional Services team, you will be responsible for designing, implementing, migrating to, and managing clients' data-driven cloud architectures and infrastructure using AWS. You will work alongside team members to help migrate customer data systems to the cloud, build and optimize data pipelines and analytics solutions, architect scalable data platforms, recommend data technologies and storage solutions to meet client needs, contribute to data engineering R&D initiatives, and mentor team members on data architecture best practices.Responsible for:Creating, implementing, and maintaining cloud architecture for clients
Migrating systems to hybrid or cloud-based solutions
Troubleshooting and optimizing clients’ cloud infrastructure
Working with developers to support and maintain application lifecycles
Assisting with design and implementation of new cloud architecture that follow best practice guidelines
Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs
Actively participating in team meetings and cross-functional interactions
Keeping team members and supervisors informed of progress and issues
Actively contributing in client project status meetings
Contributing to R&D projects to validate/invalidate new services offerings
Mentoring and guiding members of the delivery team in a technical and non-technical capacity
Remaining current with technology trends and new technologies
Proposing latest technology usage and integration standards
How you will be successful:Living and breathing the “cloud-first” approach
Having a high degree of analytical thinking capability to solve complex business problems
Obsessively delivering amazing customer experiences
Becoming a subject matter expert in one or more cloud platforms in 9-12 months
Building trusting relationships with team members and collaborating departments
Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry)
Always be learning
What experience you need:5+ years professional IT experience
2+ years professional AWS or Azure experience
At least (1) AWS or Azure Certification (professional level)
Programming languages like Python, R, Java, Scala etc. to build data pipelines, perform data analysis and create machine learning models.
SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra etc. to store and query large datasets.
Data modeling skills - ability to design conceptual, logical and physical data models.
Understanding of dimensional modeling, star schemas, data warehouses.
ETL (Extract, Transform, Load) tools like Informatica, Talend, Pentaho etc. to integrate and move data between systems.
Big data frameworks like Hadoop, Spark, Kafka etc. for distributed data processing and building data lakes
Machine learning frameworks like Tensorflow, PyTorch, Keras, Scikit-Learn for building ML models.
Knowledge of data architecture patterns like lambda, kappa architecture. Ability to design scalable and flexible data pipelines.
Compensation Disclosure:The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.Originally posted on Himalayas
Apply Now
Migrating systems to hybrid or cloud-based solutions
Troubleshooting and optimizing clients’ cloud infrastructure
Working with developers to support and maintain application lifecycles
Assisting with design and implementation of new cloud architecture that follow best practice guidelines
Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs
Actively participating in team meetings and cross-functional interactions
Keeping team members and supervisors informed of progress and issues
Actively contributing in client project status meetings
Contributing to R&D projects to validate/invalidate new services offerings
Mentoring and guiding members of the delivery team in a technical and non-technical capacity
Remaining current with technology trends and new technologies
Proposing latest technology usage and integration standards
How you will be successful:Living and breathing the “cloud-first” approach
Having a high degree of analytical thinking capability to solve complex business problems
Obsessively delivering amazing customer experiences
Becoming a subject matter expert in one or more cloud platforms in 9-12 months
Building trusting relationships with team members and collaborating departments
Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry)
Always be learning
What experience you need:5+ years professional IT experience
2+ years professional AWS or Azure experience
At least (1) AWS or Azure Certification (professional level)
Programming languages like Python, R, Java, Scala etc. to build data pipelines, perform data analysis and create machine learning models.
SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra etc. to store and query large datasets.
Data modeling skills - ability to design conceptual, logical and physical data models.
Understanding of dimensional modeling, star schemas, data warehouses.
ETL (Extract, Transform, Load) tools like Informatica, Talend, Pentaho etc. to integrate and move data between systems.
Big data frameworks like Hadoop, Spark, Kafka etc. for distributed data processing and building data lakes
Machine learning frameworks like Tensorflow, PyTorch, Keras, Scikit-Learn for building ML models.
Knowledge of data architecture patterns like lambda, kappa architecture. Ability to design scalable and flexible data pipelines.
Compensation Disclosure:The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.Originally posted on Himalayas
Apply Now