Associate Distinguished Engineer (Cloud Architecture, Cloud Infrastructure - AWS, Data Modeling, Master data management, Snowflake, ETL)

SmartRecruiters, Inc.; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

SmartRecruiters, Inc. is seeking an senior data architect/leader to design and govern enterprise-scale data platforms. You will drive architecture decisions, establish data standards, and lead MDM initiatives across a multi-unit organization.

Expertise in Snowflake, AWS, data modeling, and governance is essential. You will mentor architects and engineers, collaborate with executives, and shape modern cloud data architectures to enable analytics and AI applications.

Qualifications

• 15+ years in data engineering/architecture or enterprise data leadership.
• Proven enterprise-scale data platform delivery across multi-unit orgs.
• Strong Snowflake expertise incl. architecture, performance, governance.
• Hands-on data modeling incl. dimensional and data vault.
• Cloud architecture expertise with AWS and cloud-native services.
• Experience delivering enterprise MDM programs (MDM) including match/merge/survivorship.
• Experience with data governance, cataloging (Collibra).
• Strong stakeholder management and executive engagement.
• Ability to translate data concepts into business outcomes.

Responsibilities

• Lead the design, architecture, and delivery of enterprise-scale data platforms that support strategic business objectives.
• Act as a trusted advisor to senior client stakeholders and data leadership on data strategy, architecture, governance, and modernization.
• Drive enterprise data architecture decisions and establish scalable frameworks, standards, and best practices.
• Define and implement enterprise-wide Master Data Management strategies, including data quality, match and merge processes, survivorship rules, and governance models.
• Design semantic layers, business ontologies, and unified data models for consistent definitions.
• Architect, optimize, and govern Snowflake-based data platforms for scalability, performance, security, and cost efficiency.
• Lead data modeling initiatives and ensure robust logical, conceptual, and physical models.
• Design and implement modern cloud data architectures leveraging AWS technologies.
• Oversee scalable ETL/ELT frameworks, data pipelines, and integration solutions.
• Establish data governance, metadata management, lineage, cataloging, and compliance processes.
• Implement data quality controls, monitoring, and validation across the lifecycle.
• Collaborate with engineering to translate architecture into implementation.
• Modernize legacy platforms and analytics ecosystems.
• Align stakeholders to resolve data ownership and governance challenges.
• Drive reusable data products and platform capabilities across the org.
• Enable data foundations for analytics, AI, and ML.

Skills

Snowflake

Data Modeling

AWS

Data Governance

MDM

dbt

Data Warehousing

Leadership

Stakeholder Mgmt

ETL/ELT

Education

Bachelor’s or Master’s in CS/IT

Tools

Collibra

Informatica MDM

Stibo

Tamr

Reltio

dbt

Airflow

Job description

• Full-time
• Service Region: South Asia

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Requirements

• 15+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Leadership roles.
• Proven experience building and delivering enterprise-scale data platforms across large, complex, multi-business-unit organizations.
• Strong expertise in Snowflake, including architecture, performance optimization, cost management, governance, and data sharing.
• Strong hands-on experience in Data Modeling, including dimensional modeling and data vault methodologies.
• Strong understanding of ETL concepts, data integration, data transformation, and data pipeline design.
• Expert-level experience with Cloud Architecture and designing scalable, secure, and high-performing data ecosystems.
• Expert-level hands-on experience with AWS Cloud Infrastructure and cloud-native data services.
• Demonstrated experience delivering at least two enterprise Master Data Management (MDM) programs with direct accountability for match, merge, survivorship, and data stewardship decisions.
• Experience implementing and governing enterprise data platforms using modern data management and governance frameworks.
• Strong experience with semantic layers, business ontologies, and shared enterprise data models across multiple business domains.
• Hands-on experience with enterprise MDM platforms such as Reltio, Informatica MDM, Stibo, Tamr, or similar.
• Experience with data governance and cataloging solutions such as Collibra, including catalog, lineage, policy management, workflow, and user adoption.
• Experience implementing data quality frameworks and controls using tools such as Soda, Great Expectations, or similar platforms.
• Strong knowledge of cloud-based data ecosystems across AWS and Google Cloud environments.
• Experience with dbt, orchestration frameworks, streaming architectures, batch processing, and modern data engineering practices.
• Strong stakeholder management skills with the ability to engage executive leadership and influence strategic data decisions.
• Proven experience defining and advocating foundational data initiatives while balancing business priorities and delivery timelines.
• Strong consulting, client-facing, communication, and leadership capabilities.
• Experience working in organizations with complex and diverse source systems resulting from acquisitions, mergers, or legacy technology landscapes.
• Ability to translate complex data concepts into business outcomes for executive and non-technical stakeholders.

Responsibilities

• Lead the design, architecture, and delivery of enterprise-scale data platforms that support strategic business objectives.
• Act as a trusted advisor to senior client stakeholders and data leadership teams on data strategy, architecture, governance, and modernization initiatives.
• Drive enterprise data architecture decisions and establish scalable frameworks, standards, and best practices.
• Define and implement enterprise-wide Master Data Management strategies, including data quality, match and merge processes, survivorship rules, and governance models.
• Design and establish semantic layers, business ontologies, and unified enterprise data models that enable consistent business definitions across functions.
• Architect, optimize, and govern Snowflake-based data platforms to maximize scalability, performance, security, and cost efficiency.
• Lead data modeling initiatives and ensure implementation of robust logical, conceptual, and physical data models.
• Design and implement modern cloud data architectures leveraging AWS technologies and cloud-native services.
• Oversee the development of scalable ETL and ELT frameworks, data pipelines, and integration solutions.
• Establish enterprise data governance, metadata management, lineage, cataloging, and compliance processes.
• Implement and enforce data quality controls, monitoring frameworks, and validation processes throughout the data lifecycle.
• Collaborate closely with engineering and delivery teams to ensure architectural standards are effectively translated into implementation.
• Evaluate and modernize legacy data platforms, warehouses, reporting ecosystems, and redundant data management solutions.
• Facilitate alignment between business stakeholders to resolve complex data ownership, entity definition, and governance challenges.
• Drive adoption of reusable data products, accelerators, and shared platform capabilities across the organization.
• Enable data foundations that support analytics, AI, machine learning, and emerging intelligent applications.
• Mentor architects, engineers, and data leaders while fostering a culture of data excellence and innovation.
• Provide technical leadership throughout the entire project lifecycle, from strategy and architecture through implementation and operationalization.
• Support proposal discussions, solution planning, technology evaluations, and strategic transformation initiatives.
• Ensure enterprise data solutions are scalable, secure, governed, and aligned with long‑term business goals.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.