Tech Lead – Data Warehouse

YASH Technologies

. Lead highly skilled engineers in building a robust next-generation data platform .

Posted 9/18/2026full-timeIndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and building scalable data platforms, with a strong focus on data integration, governance, and compliance. Proficient in leading engineering teams to deliver innovative AI and analytics solutions aligned with business objectives.

Highest-signal resume keywords

Data Architecture StrategyData Integration SolutionsCloud-Based Data PlatformsBig Data PipelinesData Governance Policies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData WarehousingData ModelingPython ProgrammingSQL DatabasesNoSQL DatabasesAWS ArchitectureAzure ArchitectureKafka/KinesisTest-Driven Development

Soft Skills

LeadershipCommunicationProblem-SolvingTeam CollaborationAbility to Work Under Pressure

Tools & Technologies

SnowflakeAWS SQSAWS SNSLambdaAPI GatewayDynamoDBAuroraAWS RDS PostgreSQL

Industry Keywords

AI ConceptsData GovernanceCompliance FrameworksEnterprise IntegrationsOLTPOLAP

Tech Stack

Tools & technologies

AWSAzureCloudDynamoDBKafkaNoSQLPostgresPythonSQL

About the role

Key responsibilities & impact

Lead highly skilled engineers in building a robust next-generation data platform
Architect and build the client’s state-of-the-art digital platform
Drive innovation in AI and advanced analytics
Perform programming and provide oversight for architecture assessment and design of development assignments
Lead architecture design of end-to-end enterprise integrations serving multiple business functions
Design and implement end-to-end near-real-time data movement solutions
Define the overall data architecture strategy aligned with business goals
Establish data governance policies, standards, and compliance
Drive application development focused on delivering business-value features
Maintain software quality through team practices and security guardrails aligned with enterprise standards
Develop IT blueprints and roadmaps aligned with business strategies and objectives
Develop and maintain current, planned, and future-state architecture blueprints
Identify and analyze enterprise business drivers and requirements driving future-state architecture
Work with business analysts, data engineers, and stakeholders to translate business requirements into technical data solutions
Communicate with end users and stakeholders to direct development, debugging, and testing of application software
Perform integrated testing and customer acceptance testing
Identify complex problems and determine the best architecture from available solutions

Requirements

What you’ll need

Four-year bachelor’s degree from an accredited college or university in Computer Science, Information Technology, or a related field
12+ years of software development experience or at least 3 years of architecture experience with strong demonstrable experience
5+ years of experience designing conceptual, logical, and physical data models supporting scalability, performance, and integration needs
5+ years of Data Warehousing experience and optimizing database performance, indexing, and storage strategies
Expert knowledge of security measures for data at rest and in transit, access control, encryption, and compliance frameworks
Strong experience designing data integration solutions across systems, applications, APIs, and data warehouses
Experience designing, developing, deploying, and maintaining software at scale, with understanding of concurrency
Working experience in Python as an object-oriented programming language
In-depth understanding of Big Data pipelines
Experience designing cloud-based data platform architectures using AWS and Azure
Expertise building large data lakes and data warehouses; Snowflake preferred
Expertise building end-to-end near-real-time data pipelines for OLTP and OLAP
Strong architecture experience building robust data platforms
Expertise in SQL and NoSQL databases, message brokers, Kafka/Kinesis, AWS SQS, AWS SNS, Lambda, API Gateway, DynamoDB, Aurora, and AWS RDS PostgreSQL
Experience with test-driven development and behavior-driven development
Ability to work under pressure and within time constraints
Passion for technology and eagerness to contribute to a team-oriented environment
Demonstrated leadership on medium- to large-scale projects impacting strategic priorities
Strong understanding of AI concepts and latest developments, including Gen AI, MCP, and ATA

Benefits

Comp & perks

Flexible work arrangements
Continuous learning, unlearning, and relearning through career-oriented skilling models
All support needed for the realization of business goals
Stable employment
Inclusive team environment
Ethical corporate culture