Solution Architect

**Job Summary**:
**Job Type**
Permanent

**Seniority**

Mid

**Years of Experience**
At least 3 years

**Tech Stacks**
ETL AWS play Analytics Kinesis Microsoft EMR Glue RedShift Azure SQL Python**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**
- 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.

**Job Function**
Software & Cloud Services