Position Overview

Role: Lead Orchestration & Data Platform Engineer

About the Role:

We are seeking a highly hands-on Lead Orchestration & Data Platform Engineer to help design, prototype, and build enterprise-scale Hybrid Workload Orchestration capabilities.Working closely with the Solution Architect, this role will serve as the technical lead for implementation and solution realization. The ideal candidate can independently interpret business requirements, translate them into scalable technical solutions, and confidently engage with architects, platform teams, and engineering stakeholders.In addition to hands-on engineering responsibilities, the individual should be capable of representing the Solution Architect when required, leading technical discussions, driving solution direction, and providing technical leadership to the engineering team. This role demands strong technical breadth, critical thinking, ownership, and the ability to operate effectively in environments where requirements, priorities, tools, and approaches evolve frequently.

Key Responsibilities

- Partner with the Solution Architect to design, prototype, and implement orchestration and automation capabilities.
- Independently interpret business and technical requirements and rapidly translate them into working Proof of Concepts (POCs), prototypes, and scalable implementations.
- Lead technical discussions with stakeholders and confidently represent the architecture team when required.
- Act as the technical lead for implementation teams and provide guidance across Databricks, orchestration, integration, and event-driven solution development.
- Design and develop orchestration services, adapters, integrations, and automation frameworks across Databricks, enterprise schedulers, ETL platforms, messaging systems, and cloud-native services.
- Build event-driven workflows, metadata-driven orchestration frameworks, monitoring capabilities, and reusable platform components.
- Collaborate closely with architects, platform teams,



and engineering stakeholders to evaluate requirements, validate approaches, and resolve technical challenges.
- Demonstrate the ability to switch seamlessly between orchestration tools, ETL platforms, integration technologies, cloud services, and scheduling systems based on evolving solution requirements.
- Leverage Claude and other AI-assisted engineering tools for architecture analysis, solution exploration, rapid prototyping, code development, troubleshooting, and productivity acceleration.
- Think beyond stated requirements by proactively identifying edge cases, failure scenarios, operational risks, performance bottlenecks, and dependency impacts.
- Drive technical decisions, propose alternative approaches, challenge assumptions where needed, and contribute innovative ideas to improve overall platform architecture.
- Operate with a strong ownership mindset and drive complex issues to closure with minimal supervision.

Required Qualifications

- 812 years of experience in Data Engineering, Platform Engineering, Orchestration, Integration Engineering, or related disciplines.
- Strong hands-on expertise in Databricks, PySpark, SQL, Delta Lake, and Unity Catalog.
- Strong programming skills in Python.
- Experience designing and implementing event-driven architectures using Azure Event Hub, Kafka, or similar technologies.
- Experience with enterprise orchestration and scheduling platforms such as TWS, Control-M, Airflow, Autosys, or equivalent.
- Experience with Informatica, ETL modernization, and enterprise integration patterns.
- Strong understanding of workflow orchestration, dependency management, metadata-driven architectures,



and distributed systems.
- Proven ability to independently drive solutioning efforts, technical design discussions, and rapid prototyping activities.
- Ability to function as a technical lead and effectively fill in for the Solution Architect when required.
- Excellent communication, presentation, stakeholder management, and collaboration skills.

Preferred Qualifications

- Experience building orchestration platforms, adapters, connectors, event-driven integration frameworks, or workflow automation solutions.
- Hands-on experience with Databricks Workflows, Databricks Asset Bundles (DAB), CI/CD automation, and platform engineering practices.
- Knowledge of Azure cloud services and cloud-native integration patterns.
- Strong practical experience using Claude or similar enterprise LLMs for architecture analysis, design validation, rapid prototyping, code generation, and engineering productivity.
- Experience working directly with architects, platform leadership teams, and senior engineering stakeholders.
- Exposure to large-scale modernization initiatives involving Databricks, Informatica, enterprise schedulers, and event-driven architectures.
- Experience mentoring engineers and providing technical leadership within distributed teams.
- Ability to balance strategic thinking with hands-on implementation and execution while thriving in highly dynamic and ambiguous environments.

Compensation & Benefit

- Market-competitive salary on par with industry benchmarks
- Long Service awards and Retirement Benefits
- Opportunity to work on cutting-edge technologies
- Unlimited career progression pathways with continual performance management
- Opportunity to work on Cutting Edge Technology

Salary: Best in the industry Website: https://www.bitwiseglobal.com/en-in/

LinkedIn Page: https://www.linkedin.com/company/bitwiseindia/

Interested candidates, share your updated resume at "[email protected] "

📌 Lead Orchestration & Data Platform Engineer (Pune)
🏢 Bitwise Solutions
📍 Pune