Sr Data Architect – Data Bricks Job Full Time NEW

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

13+ Years

Job Description

Tech Stack: Azure Databricks, Data modelling, PySpark, SQL

Mandatory Domin Expertise: Manufacturing, Quality 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 AEI’s 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