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

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 :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time