Job Description Summary

Job Description

Key Responsibilities

Strategic Leadership:

• Developing and executing a data architecture strategy aligned with the companys business objectives and data analytics roadmap.

• Defining and maintaining the enterprise data model data standards and data governance policies.

• Staying abreast of emerging technologies and trends in data architecture data integration and data governance evaluating their potential impact on the data architecture.

Technical Leadership & Architecture:

• Leading the design and implementation of data integration patterns data pipelines and data solutions on AWS.

• Overseeing the evolution of our data lake data warehouse and related data services ensuring scalability reliability and security.

• Providing architectural guidance and oversight for data-related projects across the organization.

• Analyzing designing and developing a solution roadmap and implementation plan based upon a current vs. future state of the business.

• Participating in the Enterprise Architecture domain governance model.

• Contributing to the development of software data and technology platforms with reusable components that can be orchestrated together into different methods.

• Leading the research and evaluation of emerging technology industry and market trends to assist in project development and/or operational support actives.

Team Leadership & Development:

• Leading mentoring and develop a team of Data Architects providing technical guidance performance feedback and career development opportunities.

• Fostering a collaborative and innovative team environment.

• Promoting knowledge sharing and best practices within the team and across the broader Data Analytics organization.

• Managing budgets and strategic inputs into short/long term budget planning.

Collaboration & Stakeholder Management:

• Partnering closely with Data Scientists Data Engineers Business Analysts and other stakeholders to understand their data needs and deliver effective solutions.

• Collaborating with Enterprise IT to ensure alignment with overall IT strategy and governance.

• Communicating technical concepts and solutions effectively to both technical and non-technical audiences.

Required Qualifications

• Bachelors degree in Computer Science Engineering or a related field. Masters degree preferred.

• Strong experience in data architecture data modeling or related roles.

• Experience in leading and managing technical teams.

• Deep expertise in cloud computing specifically AWS (Amazon Web Services). Experience with services such as S3 EC2 EMR Glue Athena Redshift Kinesis Lambda and IAM is essential.

• Proven experience in designing and implementing data lakes data mesh data warehouses and data pipelines.

• Strong understanding of data modeling techniques (relational dimensional NoSQL).

• Experience with data integration tools and techniques (ETL/ELT).

• Technical Expertise:AWS Cloud Services Data Modeling Data Warehousing Data Lake Architecture ETL/ELT Processes Data Governance Data Security Metadata Management Data Lineage.

• Leadership:Team Management Mentoring Strategic Thinking Communication (written and verbal) Problem-Solving.

• Soft Skills:Collaboration Influence Adaptability Results-Oriented.

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