Role: Data Solution Architect

Hi,

I Hope you are doing great!!

This is Ramesh from Koya Consulting Inc. I'm a Bench Sales Recruiter for the below listed resource. I do have a suitable candidate for this open role. PFA of resume and below details for our review and let me know if you are interested in submitting my candidate for this opportunity.

I ensure the below listed resource is technically strong and excellent in communication skills and available immediately and available for technical screening.

Looking Forward to working with you.

On Mon, Jun 23, 2025 at 10:26 AM Ravi teja <teja070195@gmail.com> wrote:

Role: Data Solution Architect
Location: Reading, PA (Resource who fills the role must be onsite 2-3 days per week or willing to travel to office 1x per month for 3-4 days (typical setup is resource flies into the client site for Monday morning, returning Thursday)
“Job Duties:
•Technical Leader on the Data engineering team, defining IT Process and Technology strategies, familiarity with emerging technology trends, defining a roadmap and building consensus with Senior IT Leadership
* Help drive innovation by staying current with rapidly developing Data Engineering landscape and share knowledge internally and with customers
* Define and maintain data engineering strategy & roadmap, build consensus with Senior IT Leadership• Meet with Senior & Mid-Level Management to align business process initiatives and strategies with current and planned Penske Data Engineering & Analytics Architecture
* Evaluate Data Engineering & Analytics Tools/Techniques/ Approaches and determine impact on strategic objectives and manage overall implementation
* Be the primary contact and technical lead for multiple critical programs and integrations and resolve customer issues in a timely manner
* Effectively lead teams through the data engineering lifecycle (design, develop, test, release, and support) based on detailed requirements
* Collaborate with product owners and facilitate working sessions to acquire and understand requirements / acceptance criteria and translate into technical requirements
* Recommend conceptual designs and architecture, producing deliverables for multiple medium to large complex projects on time and under budget
* Lead the discovery and decision-making process when changes to standards and technology (tools, conventions, and design patterns)
* Play a leadership role in building data security and data governance guidelines
* Evaluate and research third-party packages and recommend customization and deployment opportunities as part of recommending a technical solution
* Own the architectural design of projects, provide expertise to project teams, and ensure adherence to established architectural standards and principles
* Provide constructive input and development opportunities for team members to department management
Minimum Skills Required:
* 14+ years of overall technology experience required
* 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience required
* 7+ years of experience in defining Data & Analytics architecture implementing multiple large volume projects across onprem and oncloud environments. Preferably AWS. • 5+ years of experience collaborating with Agile teams preferred
* Expertise in designing, validating, and implementing multiple projects across the hybrid infrastructure (On-cloud to On-Premises and vice versa)
* Expertise in setting up Data Lakes and analytical environments
* Expertise with Data Engineering tools such as Talend, BODS, Python, PySpark,Kafka,d API’s etc.
* Expertise with relational SQL and NoSQL databases
* Experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and Datamarts
* Experience in building processes supporting data transformation, data structures, metadata, dependency, and workload management
* Strong experience with data modelling techniques utilizing tools such as Erwin, ER Studio etc.
* Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.
* Experience in message queuing, stream processing, and highly scalable ‘big data’ data stores
* Experience with big data tools such as Kafka
* Strong analytic skills related to working with complex datasets
* Expert knowledge of appropriate design frameworks and patterns and experience in implementing them
* Ability to consistently develop knowledge of industry wide technology strategies and best practices
* Able to communicate highly technical concepts in clear/concise manner to non-technical individuals
* Experience prioritizing technology needs within set budget requirements
* Excellent interpersonal and decision-making skills”
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