Data Warehouse - Delivery Manager

Role & responsibilities :

• Manage end-to-end delivery of Data Warehouse, data integration and data analytics

projects, ensuring they are delivered on time, within scope, and budget.

• Collaborate with cross-functional teams (data engineers, solution architects, business

analysts, and QA) to define project scope, deliverables, milestones, and success criteria.

• Oversee the design, implementation, and optimization of data warehousing solutions

leveraging tools like Snowflake, Databricks, and other cloud data platforms.

• Lead the delivery of ETL processes for ingesting, transforming, and managing large-scale

datasets.

• Lead the delivery of Data Analytics dashboards and reports on modern data stacks
• Develop project plans, allocate resources, and track progress using project management

tools such as Jira, Asana, Trello, or MS Project.

• Act as the primary point of contact for clients, building strong relationships, providing

regular updates, and addressing concerns promptly.

• Manage risks and resolve project roadblocks to ensure timely delivery of high-quality

solutions.

• Ensure projects align with data governance best practices, security protocols, and client

standards.

• Work with stakeholders to define KPIs and ensure delivery meets the business and technical

goals.

• Drive continuous improvement initiatives in delivery processes, data quality, and team

efficiency.

• Provide leadership and mentoring to project teams, fostering a culture of collaboration,

accountability, and excellence

Preferred candidate profile :

• Bachelors degree in computer science, Information Systems, Data Engineering, or a related

field.

• 5+ years of experience managing the delivery of Data Warehouse, data engineering and

data analytics projects.

• Strong experience with cloud-based data platforms such as Snowflake, Databricks, or

Amazon Redshift.

• Proficiency in managing ETL pipelines and understanding data transformation processes.
• Solid knowledge of data warehousing concepts (e.g., dimensional modelling, star/snowflake

schema, OLAP/OLTP systems).

• Experience working with SQL for data querying, performance optimization, and testing.
• Proven ability to manage multiple stakeholders, prioritize tasks, and ensure client

satisfaction.

• Proficiency with project management tools: Jira, Asana, Trello, or MS Project.
• Familiarity with Agile, Scrum, and Waterfall methodologies.
• Strong problem-solving skills, risk management expertise, and ability to resolve project

challenges.

• Excellent communication, presentation, and leadership skills
• Bachelors degree in computer science, Information Systems, Data Engineering, or a related

field.

• 5+ years of experience managing the delivery of Data Warehouse, data engineering and

data analytics projects.

• Strong experience with cloud-based data platforms such as Snowflake, Databricks, or

Amazon Redshift.

• Proficiency in managing ETL pipelines and understanding data transformation processes.
• Solid knowledge of data warehousing concepts (e.g., dimensional modelling, star/snowflake

schema, OLAP/OLTP systems).

• Experience working with SQL for data querying, performance optimization, and testing.
• Proven ability to manage multiple stakeholders, prioritize tasks, and ensure client

satisfaction.

• Proficiency with project management tools: Jira, Asana, Trello, or MS Project.
• Familiarity with Agile, Scrum, and Waterfall methodologies.
• Strong problem-solving skills, risk management expertise, and ability to resolve project

challenges.

• Excellent communication, presentation, and leadership skills

Perks and benefits :

• Training in Databricks.
• Training and certification in Thoughtspot.
• Support on certifications.
• Hands-on AWS, Azure, and GCP.
• Support you on any cloud certification.
• Build leadership skills