Senior Data Architect

Description

Daily Tasks Performed

Leadership and Project Management

o Lead and oversee the planning execution and delivery of analytics projects from inception to completion.

o Define project scope objectives timelines and resource requirements.

Team Management

o Manage a team of data analysts data engineers and BI specialists providing direction coaching and support.

o Foster a collaborative and results-driven team environment.

Technical Expertise

o Utilize technical expertise to guide the team in designing and implementing data solutions.

o Troubleshoot technical challenges and provide hands-on support when needed.

o Experience in BI Technologies Database ETL Reporting and AWS Cloud solutions is a plus.

o Design and implement ETL processes and data pipelines.

o Lead troubleshooting and performance-tuning activities.

Project Planning and Documentation

o Develop detailed project plans including resource allocation and task assignments.

o Ensure that projects are on track within budget and meet predefined success criteria.

o Experience in Agile delivery methodology is a plus.

o Maintain project documentation including requirements design documents and project status reports.

Stakeholder Collaboration

o Collaborate closely with business stakeholders to gather project requirements and ensure alignment with business needs.

o Provide regular updates to stakeholders on project progress and outcomes.

o Collaborate with cross-functional teams to gather requirements and create data models.

Quality Assurance

o Ensure data quality accuracy and reliability in all analytics projects.

o Implement best practices and quality control measures.

Risk Management

o Identify project risks and develop mitigation strategies.

o Proactively address issues and challenges that may arise during project execution.

Knowledge Sharing

o Promote knowledge sharing and best practice adoption within the team and across the organization.

o Stay up to date with the latest BI features and best practices.

Requirements

o Bachelors or masters degree in computer science Data Science or a related field.

o Proven experience in a project management role with a focus on analytics and data-driven project

o Strong technical background with proficiency in data analytics tools and languages e.g. Database SQL Informatica Power BI Business Objects and AWS Solutions and Technologies e.g. Redshift Glue.

o Experience with data engineering and ETL processes including data modeling database design and data integration techniques.

o Solid understanding of data governance data security and data privacy best practices.

o Ability to balance technical and project management responsibilities effectively.

o AWS certifications in data engineering or related areas are a plus.

o Project management certification e.g. PMP Scrum Agile is a plus

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