Solution Architect

Job Function: Software & Cloud Services The role:
**Responsibilities**:

- **
Solution Design**: Collaborate with cross-functional teams to gather requirements, design end-to-end data analytics solutions, and create architectural diagrams and documentation.
- ** AWS Expertise**: Leverage your extensive knowledge of AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, and others to architect robust data analytics platforms.
- ** Data Modeling**: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.
- ** Scalability and Performance**: Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.
- ** Data Integration**: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.
- ** Security and Compliance**: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.
- ** Troubleshooting and Optimization**: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.
- ** Collaboration**: Work closely with data engineers, data scientists, business analysts, and stakeholders to understand their needs and provide technical guidance.
- ** Innovation**: Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data analytics capabilities.

What we need to see from you:

- Has over 6+ years of experience in Data or Data analytics.
- Proven experience (3+ years) as a Solution Architect or similar role, with a focus on data analytics and AWS cloud technologies, and experience and knowledge on Microsoft Azure Data Analytics technology is a plus.
- Extensive hands-on experience with AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc.
- Strong understanding of data modeling, ETL processes, data warehousing, and data governance principles.
- Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.
- Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.
- Strong communication skills to effectively collaborate with technical and non-technical teams.
- AWS certifications (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified Data Analytics - Specialty) are a plus.
- Experience in working with Agile methodologies and version control systems.
- Proven ability to work independently and manage multiple priorities effectively.

Education and Certification
- Bachelors or associate degree in IT discipline
- Certification in **AWS Certified: Solution Architect **and **AWS Certified: Data Analytics Specialty** are must.

**What we need to see from you**
- Report to practice lead.
- Work within project team to develop and test data analytics platform and model
- Design, develop, and unit test in accordance with established standards.
- Assist project team in analyzing and resolving technical issues.
- Assist in preparing manuals, specification and other technical documentations.
- Package and support deployment releases.
- Assisting in the collection and documentation of user's requirements, development of user stories, and estimates.

Why SoftwareOne?:
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Accommodations: