Delivery Manager

3 days ago


Pune, Maharashtra, India Anvi Cybernetics Full time
Job Description

Job Description: Delivery Manager Data Engineering (Databricks & Snowflake)

Position: Delivery Manager Data Engineering

Location: Bavdhan/Baner, Pune.

Experience: 7-10 years

Employment Type: Full-time

Job Summary:

We are seeking a Delivery Manager Data Engineering to oversee multiple data engineering projects leveraging Databricks and Snowflake. This role requires strong leadership skills to manage teams, ensure timely delivery, and drive best practices in cloud-based data platforms. The ideal candidate will have deep expertise in data architecture, ETL processes, cloud data platforms, and stakeholder management.

Key Responsibilities:

Project & Delivery Management:

Oversee the end-to-end delivery of multiple data engineering projects using Databricks and Snowflake.

Define project scope, timelines, milestones, and resource allocation to ensure smooth execution.

Identify and mitigate risks, ensuring that projects are delivered on time and within budget.

Establish agile methodologies (Scrum, Kanban) to drive efficient project execution.

Data Engineering & Architecture Oversight:

Provide technical direction on data pipeline architecture, data lakes, data warehousing, and ETL frameworks.

Ensure optimal performance, scalability, and security of data platforms.

Collaborate with data architects and engineers to design and implement best practices for data processing and analytics.

Stakeholder & Client Management:

Act as the primary point of contact for clients, senior management, and cross-functional teams.

Understand business requirements and translate them into technical solutions.

Provide regular status updates and manage client expectations effectively.

Team Leadership & People Management:

Lead, mentor, and develop data engineers, architects, and analysts working across projects.

Drive a culture of collaboration, accountability, and continuous learning.

Ensure proper resource planning and capacity management to balance workload effectively.

Technology & Process Improvement:

Stay up-to-date with emerging trends in Databricks, Snowflake, and cloud data technologies.

Continuously improve delivery frameworks, automation, and DevOps for data engineering.

Implement cost-optimization strategies for cloud-based data solutions.

Required Skills & Experience:

Technical Expertise:

-10+ years of experience in data engineering and delivery management.

-Strong expertise in Databricks, Snowflake, and cloud platforms (AWS, Azure, GCP).

-Hands-on experience in ETL, data modeling, and big data processing frameworks (Spark, Delta Lake, Apache Airflow, DBT).

-Understanding of data governance, security, and compliance standards (GDPR, CCPA, HIPAA, etc.).

-Familiarity with SQL, Python, Scala, or Java for data transformation.

Project & Team Management:

-Proven experience in managing multiple projects simultaneously.

-Strong knowledge of Agile, Scrum, and DevOps practices.

-Experience in budgeting, forecasting, and resource management.

Soft Skills & Leadership:

-Excellent communication and stakeholder management skills.

-Strong problem-solving and decision-making abilities.

-Ability to motivate and lead cross-functional teams effectively.

Preferred Qualifications:

Experience with data streaming (Kafka, Kinesis, or Pub/Sub).

Knowledge of ML & AI-driven data processing solutions.

Certifications in Databricks, Snowflake, or cloud platforms (AWS/Azure/GCP).

Apply or share your updated CV at [Confidential Information]

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