Data Warehouse Solutions Architect

4 weeks ago


Dubai, Dubai, United Arab Emirates Sudoconsultants Full time

SUDO Consultants is a proud AWS Premier Partner offering reliable and smart solutions for our customers' business's digital transformation. Our commitment to prioritizing customers drives in "everything that we do" as we deeply understand the complex and varied needs of today's businesses and industries.

SUDO Team is a leader in AI-driven innovation, dedicated to helping businesses with the solutions, tools, services, and strategies they need to thrive in today's dynamic digital world. Our tailored, one-stop solutions empower startups and established enterprises alike by integrating advanced AI and cutting-edge technologies.

We help companies tackle complex challenges, streamline workflows, and enhance their digital presence, ensuring they stay ahead of the competition in a rapidly evolving landscape. Our dedication drives our achievements to pioneering and innovative approaches. We cultivate a dynamic and collaborative culture built on transparency, accountability, and a strong sense of ownership. This cohesive approach drives our growth and reinforces our position as an industry leader. Join us in shaping the future of innovation and technology

We are seeking an experienced and dynamic Data Warehouse Solutions Architect with 8-10 years of expertise in pre-sales and solutioning. The ideal candidate will have a strong background in designing and implementing data warehousing solutions, integrating various data sources such as SAP, Oracle, MS Dynamics, SAGE, raw data, and unstructured data into modern data lakes. Proficiency in leveraging AWS services and visualization tools like AWS QuickSight and Power BI is essential.

Roles and Responsibilities
  1. Collaborate with sales teams to identify customer requirements and provide tailored data warehousing solutions.
  2. Deliver compelling presentations and demonstrations to showcase the value of data-driven solutions.
  3. Assist in preparing proposals, RFP responses, and cost estimations.
  4. Design scalable, secure, and high-performance data warehouse and data lake solutions using AWS services.
  5. Integrate diverse data sources, including ERP systems (SAP, Oracle, MS Dynamics, SAGE), raw data streams, and unstructured data repositories.
  6. Create optimized data models and architecture for analytics, reporting, and business intelligence.
  7. Utilize AWS services such as AWS Glue, AWS S3, AWS Redshift, AWS Lake Formation, and AWS QuickSight for end-to-end data processing and analytics.
  8. Incorporate tools like Power BI for advanced data visualization and insights delivery.
  9. Implement data governance, security, and compliance best practices.
  10. Work closely with clients, project managers, and development teams to ensure successful implementation of data solutions.
  11. Provide technical mentorship and guidance to junior team members.
  12. Serve as the SME (Subject Matter Expert) for data warehousing and analytics during client interactions.
  13. Stay updated on the latest trends and technologies in data warehousing, analytics, and AWS services.
  14. Proactively identify opportunities to enhance solution offerings and improve delivery processes.
Skills and Qualifications
  1. Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree is a plus.
  2. 8-10 years of experience in data warehousing, data lake solutions, and pre-sales roles.
  3. Proven expertise with AWS services, including but not limited to AWS QuickSight, AWS Glue, AWS Redshift, and AWS Lake Formation.
  4. Proficiency in data visualization tools like Power BI.
  5. Strong knowledge of integrating data from various sources such as SAP, Oracle, MS Dynamics, SAGE, and unstructured data formats.
  6. Exceptional communication, presentation, and interpersonal skills.
  7. Experience with ETL processes, data modeling, and cloud-based data architecture.
Nice to Have
  1. Certifications in AWS (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics).
  2. Experience with Big Data frameworks like Hadoop or Spark.
  3. Familiarity with machine learning models and predictive analytics.
Perks and Compensation

A full-time position. Competitive salary and incentive bonus.

Professional Development

We help you build your credibility as you continue to gain new skill sets and certificates through mentorship and career development. Exposure to diverse and challenging projects across industries.

Unlimited Training & Development Benefits and Rewards System

In-placed rewards and recognition policy and employee leave benefits.

For those who are interested and eligible candidates for this position, you may send us your CV by clicking on the:

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