Data Architect

YASH Technologies

Data Architect responsible for enterprise data architecture at YASH Technologies. Developing data architecture strategies and mentoring teams in a technology integration environment.

Posted 6/19/2026full-timePune • 🇮🇳 IndiaSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Create 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 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 Organization, 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.

Requirements

What you’ll need

Bachelor’s degree in computer science, Engineering, or a related field.
Minimum of 10+ years of experience in data and analytics, with a strong track record as a Data Architect on large-scale and Big Data initiatives.
Deep expertise in data architecture practises, data modelling, and modern data platform design and databricks.
Hands-on exposure to public cloud platforms such as Azure, AWS, or GCP.
Experience with master data management, metadata management.
Hands-on experience with Data Mesh, data lakes, data warehouses, and Lakehouse architectures.
Proficiency in Spark, SQL, Python, data ingestion techniques.
Good to have experience in SAP Data & Analytics solutions.

Benefits

Comp & perks

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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Hard Skills & Tools

data architecturedata modellingdata ingestion techniquesSparkSQLPythonmaster data managementmetadata managementData Meshdatabricks

Soft Skills

mentoringtechnical oversightleadershipcollaboration