Position Overview:

As a Solution Architect you will be responsible for providing advisory and thought leadership on the evaluating and maintaining data quality across the systems and technology landscapes including integration with existing data and analytics platforms and tools. You will be contributing in designing and implementation of scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, implement projects and provide delivery oversight.

Here's how you'll contribute:

1. Managing and owning all aspects of technical development and delivery
2. Understanding requirements and reviewing technical design documents
3. Ensuring code review and developing best practises
4. Planning end to end technical scope of the project and customer engagement area including planning sprint and delivery
5. Estimating effort, identifying risk and providing technical support whenever needed
6. Demonstrating the ability to multitask and re prioritizing responsibility based on dynamic requirements
7. Leading and mentoring development teams
8. Responding to client RFI, RFP documents with proper solution design including cost estimates
9. Contributing to SoWs, technical project roadmaps, etc required for successful execution of projects leveraging Technical Scoping & Solutioning approach

Skills required to contribute:

10-12 Years of Data and Analytics experience with minimum 5+ years in one of DQ platforms like Informatica DQ, Ataccamma, Alation etc and working experience on Azure, AWS or GCP Cloud platforms.

1. Bachelor's degree in statistics, mathematics, computer science, information management, or similar.
2. Proficiency in programming languages, including Structured Query Language (SQL) and Python. 
3. Performing statistical tests on large datasets to determine data quality and integrity.
4. Evaluating system performance and design, as well as its effect on data quality.
5. Collaborating with database developers to improve data collection and storage processes.
6. Running data queries to identify coding issues and data exceptions, as well as cleaning data.
7. Gathering data from primary or secondary data sources to identify and interpret trends.
8. Reporting data analysis findings to management to inform business decisions and prioritize information system needs.
9. Documenting processes and maintaining data records.
10. Adhering to best practices in data analysis and collection.
11. Keeping abreast of developments and trends in data quality analysis.
12. Excellent interpersonal and communication

Skills Must Have’s:

Experience with a Data Governance tool i.e. Alation, Collibra, Ataccamma, Informatica DQ etc., along with Python experience