Delivery Solution Architect

Job Title: Delivery Solution Architect

Domain: Manage Data and BI Engineers

Experience: 5-8 years

Location: New Delhi and nearby preferred (remote also works)

Duration: 6 months and renewable

Job Description:

We are seeking a highly skilled and experienced Solution Architect Data Analytics for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges.

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.

Skills

• Proven experience (3-5 years) as a Solution Architect in Delivery and leading 5- 10 delivery consultants and engineers in 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 closely with sales team to develop opportunities and solution proposal
• 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 estimation

.