Data Architect

Skills – Mandatory

Modern Data

Architecture, RDBMS,

ETL, NoSQL, Data

warehousing, Data

Governance, Data

Modeling,

Performance

Optimization,

Azure/AWS/GCP,

Spark, Python, SQL,

Cloud Datawarehouse

(Snowflake/BigQuery/

DataBricks etc.)

Skills - Primary

Modern Data

Architecture,

RDBMS, ETL, Data

warehousing, Data

Governance, Data

Modeling,

Performance

Optimization,

Azure/AWS/GCP,

Spark, Python, SQL,

Cloud

Datawarehouse

(Snowflake/BigQuery

/DataBricks etc.)

Skills - Good to have

BI Tools like Power

BI/Tableau/Looker.

IAC, CICD,

Lead Technical Design: Architect and deliver enterprise-grade data platforms across on-premises, hybrid, and multi-cloud (AWS, Azure) environments, owning the technical roadmap from conception to implementation.

Prototype & Innovate: Actively build proof-of-concepts and prototypes to validate architectural decisions, explore new technologies, and de-risk complex implementations.

Code & Customize: Go beyond high-level design to write code for critical framework components and customize open-source (OSS) tools by diving into their source code to meet unique client requirements.

Drive Pre-Sales Engagements: Serve as the ultimate technical authority in customer meetings and on RFPs/RFIs, architecting credible, hands-on solutions that inspire client confidence.

Mentor & Elevate: Mentor senior engineers and architects, establishing best practices in coding, design, and deployment. Lead by example with a strong "get your hands dirty" work ethic.

Troubleshoot & Optimize: Act as the final escalation point for the most challenging performance, scalability, and design issues, personally leading the effort to diagnose and resolve them.

• Experience Level: 15+ years of progressive, hands-on experience in data engineering and enterprise architecture.

• Hands-On Prototyping & Development: Demonstrable, recent experience in writing production-quality code, building prototypes, and directly contributing to the codebase. You must be comfortable and proficient in coding alongside engineering teams.

• Platform Architecture: Extensive experience designing and building large-scale, resilient data platforms from scratch across hybrid, on-premise, and multi-cloud infrastructures.

• Multi-Cloud Expertise: Deep, hands-on architectural and implementation expertise in at least one major cloud platform (AWS or Azure preferred), with strong familiarity with a second.

• Open-Source Mastery: Code-level expertise in at least one major open-source data framework (e.g., Spark, Flink, Trino). Proven ability to modify and extend OSS source code is a desired requirement.

• Architectural Fluency: Mastery of batch, real-time streaming, and event-driven architectural patterns and the ability to apply them to solve complex business problems.

• Pre-Sales Acumen: Significant experience leading the technical strategy for complex, high value RFPs and RFIs for global enterprise customers.

Soft Skills & Key Competencies

• Strategic & Visionary Leadership: The ability to define a long-term data strategy that aligns with business goals, anticipate future trends, and inspire teams to build towards that vision.

• Executive Communication & Influence: Exceptional skill in articulating complex technical architectures and their business value to C-level executives, technical peers, and customers with confidence and clarity.

• Pragmatic Problem-Solving: A creative and analytical mindset, capable of deconstructing ambiguous problems and designing elegant, effective solutions while balancing technical purity with practical business constraints.

• Mentorship & Team Empowerment: A genuine passion for elevating the skills of others. Actively mentors' senior engineers and architects, fostering a culture of technical excellence and collaborative

• stakeholder Management: Proven ability to build strong relationships, manage expectations, and navigate complex organizational dynamics with both clients and internal teams to drive consensus and achieve success.

• Resilience & Composure: Demonstrates grace and effective leadership when faced with high-pressure situations, tight deadlines, and critical production issues.

• To adhere to the Information Security Management policies and procedures.

Job Types: Full-time, Permanent

Pay: ₹2,800, ₹3,000,000.00 per year

Experience:

• Data architect: 10 years (Required)
• AWS: 10 years (Required)
• Azure: 10 years (Required)
• RDBMS: 10 years (Preferred)
• ETL: 10 years (Preferred)
• NoSQL: 10 years (Preferred)
• Spark: 10 years (Preferred)
• Python: 8 years (Required)
• CI/CD: 8 years (Preferred)

Work Location: In person