Delivery Manager

Overview of Role:

The Delivery Manager will lead the successful delivery of Data Warehouse projects for enterprise clients. The role requires expertise in managing large-scale data initiatives, including planning, execution, and monitoring of complex Data Warehouse (DW) and ETL pipelines. The ideal candidate will have experience delivering projects using platforms such as Snowflake, Databricks, and other modern cloud-based data warehousing solutions.

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.

Requirements and 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.

Preferred Qualifications

• Certification in project management frameworks (e.g., PMP, PRINCE2, SAFe, CSM).
• Experience with ETL tools (e.g., Talend, Informatica, dbt, Apache Airflow, or Fivetran).
• Familiarity with Big Data technologies such as Apache Spark, Hive, or Kafka.
• Working knowledge of data analytics platforms; MS Power BI, Tableau, ThoughtSpot
• Experience with data governance, security, and compliance best practices.
• Working knowledge of cloud platforms: AWS, Azure, or Google Cloud for Data Warehousing projects.
• Hands-on experience with CI/CD pipelines and DevOps practices in data engineering.

What you can expect from us

We appreciate that individual growth is important as well and we support you on every aspect of personal development.

• 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.

Perks and benefits:

• Medical Insurance coverage for self and family.
• Travelling onsite for any customer engagements.
• Provident Fund and Gratuity
• Certification reimbursements relevant to project.