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 hr@anvicybernetics.com

Anvi Cybernetics

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