YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire Data Bricks Professionals in the following areas :
Experience
10+ Years
Job Description
Tech Stack: Azure Databricks, Data modelling, PySpark, SQL
Mandatory Domin Expertise: Next Gen, Sales squad
Skills
TOGAF Certified or equivalent
Deep understanding of the Data architecture discipline, processes, concepts and analytics best practices
Data Solutions Design, Data Integration
Data Governance, Security, Privacy and Compliance requirements for an enterprise
Data Dictionary and Cataloguing
Data Lake, Datawarehouse, Lakehouse Design, SQL expertise, Data Ingestion techniques
Possess strong knowledge of industry best practices around modern data architecture in Cloud and Big Data environments
Solutions Modeling, Data Modeling – Logical & Physical
Analytical, Structured thinker, Effective Leadership and Communication
Background in ERP, Manufacturing, Engineering and Supply Chain is preferable
Azure, Databricks, On prem solutions ( MS BI Suite ) preferable.
Roles and Responsibilities
Create AEIs Data Architecture vision covering all Data & Analytics components, enterprise-wide baseline and target data architectures.
Support in Data & Analytics solutions and product development as Data architect in terms of Data architecture, standards, best practices, assets and frameworks
Responsible for the design and implementation of AEI’s enterprise data architecture, ensuring current and future business data and analytical needs.
Be the custodian of enterprise-wide data lineage from source to target and able to deep dive vertically when required.
Develop holistic roadmap of Data architecture change initiatives across AEI, lead from the front to consolidate data requirements across different initiatives
Mentor and provide technical oversight to Data Solution Architects, Data Engineers in creating data products to Business adhering to the data architecture and governance standards
Key stakeholder and advisor in all new strategic data and analytics initiatives and ensure alignment to the enterprise data strategy
To drive consistent data standards and approaches, building an environment that encourages continuous improvement and innovation
Responsible for the definition and development of data architecture principles, guidelines, data services, analytical tools, standards, and frameworks required to support AEI Data architecture
Define Data migration strategy and device the implementation approach
Provide Data Architecture expertise for Projects Delivery, working with Product Mangers and solution architects
Work with Enterprise Application teams, stakeholders and Partners to understand target data architecture delivery dependencies and align delivery timelines
Lead the data solution design efforts and synergize with Data Governance processes
Creating templates for data architecture deliverables and artifacts for Projects and supporting data solution architects to complete
Evaluate new trends , architect, and deploy new tools, frameworks, and patterns to build sustainable Big Data and Cloud platforms
Accountable for defining key indicators of the performance of the Data Architecture
Accountable for assuring the alignment of data architecture to the target by decision and coordination among cross projects and enterprise
As Enterprise Data Architect, the candidate need the own the following (not limited to) deliverables
AEI’s Baseline and Target state Data architecture
Catalogue of data sources and systems
Data Architecture Artifacts and Design documents
Data Lineage through Systems
Certifications
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
Flexible work arrangements, Free spirit, and emotional positivity
Agile self-determination, trust, transparency, and open collaboration
All Support needed for the realization of business goals,
Stable employment with a great atmosphere and ethical corporate culture
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