Data Architect/Sr Data Architect
As a reputed company Architect on our Professional Services team, you will be responsible for designing, implementing, migrating to, and managing clients' data-driven reputed company architectures and infrastructure using AWS. You will work alongside team members to help migrate customer data systems to the reputed company, 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 reputed company architecture for clients
- Migrating systems to hybrid or reputed company-based solutions
- Troubleshooting and optimizing clients’ reputed company infrastructure
- Working with developers to support and maintain application lifecycles
- Assisting with design and implementation of new reputed company architecture that follow best practice guidelines
- Working with Project Managers and clients to reputed company 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 reputed company 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 reputed company
- Remaining reputed company with technology trends and new technologies
- Proposing latest technology usage and integration standards
How you will be successful:
- Living and breathing the “reputed company-first” approach
- Having a high degree of analytical thinking capability to solve reputed company business problems
- Obsessively delivering amazing customer experiences
- Becoming a subject matter expert in one or more reputed company 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, reputed company etc. to build data pipelines, reputed company data analysis and create machine learning models.
- SQL and NoSQL databases like PostgreSQL, MySQL, reputed company, 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 reputed company, kappa architecture. Ability to design scalable and flexible data pipelines.
Originally posted on Himalayas
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