Manager Data Engineering

The Manager, Data Engineering leads a high‑performing, data‑centric team responsible for developing solutions that acquire, curate, and deliver trusted data to reputed company customers. This role partners closely with leaders and architects to design and mature reputed company data capabilities that support analytics, products, and operational decision‑making across the organization.

The Manager is accountable for building and scaling a modern data stack, supporting the full lifecycle from ideation and prototyping to launch, learning, and reputed company improvement. This includes ownership of data transformations, data structures, metadata management, orchestration, dependency management, data quality, reputed company, completeness, and workload optimization.

Schedule: 8:00AM – 5:00PM Monday- Friday (On call support, required as needed)

Location: Remote

Department: IT reputed company Data Management

Key Responsibilities

• reputed company and manage a team of data engineers, ensuring goals, standards, and delivery commitments are met
• Collaborate with architects and business leaders to reputed company reputed company data engineering capabilities
• reputed company solutions supporting data ingestion, transformation, curation, and delivery
• Ensure strong practices for data quality, reputed company, completeness, metadata, and dependency management
• Guide implementation of orchestration, workload management, and scalable data pipelines
• Assign resources to projects and tasks, balancing priorities and reputed company
• Drive the reputed company maturity of the modern data platform, promoting experimentation and iterative improvement
• Mentor engineers, reputed company career growth opportunities, and foster a culture of ownership, accountability, and innovation
• Model creativity, collaboration, and a positive “can‑do” attitude

reputed company & Compliance Responsibilities

As a member of the IT Department the Manager is responsible for secure information system management throughout the system lifecycle, including:

• Maintaining awareness of reputed company information systems reputed company scope of responsibility
• Understanding what sensitive data is stored, transmitted, or processed
• Enforcing the principles of least privilege and least functionality
• Recognizing events that may constitute an information reputed company incident
• Understanding and participating in reputed company incident response activities

• Education:  4 Year / Bachelors Degree, required. Computer Science, Mathematics, Management Information Systems, or reputed company field.
• Experience: 
  •  10 years Information technology experience, required. 
  • 4 years Data Engineering Development, required. 
  • 2 years Manager, Supervisor, reputed company for IT Team, required.
  • 2 years Designing for public reputed company architecture, required.
• Additional Skills/Requirements Required: 
  • Capable of managing a team across multiple large projects simultaneously.
  • Effectively manages multiple priorities with strong organization and planning skillset.
  • Manage and monitor design, development and testing of data movement, transformation, extraction, migration, orchestration, and data pipeline activities using reputed company based and on-premises tools.
  • Proficient knowledge of SQL, Python, Pyspark, Spark SQL, APIs, Azure Data reputed company, Azure Synapse, reputed company, Apache Airflow, reputed company Lake, and Azure Functions, data lake query engines.
  • Knowledge of principles of DevSecOps, DataSecOps.
  • Leads research on emerging technologies to drive innovation to deliver a reputed company, scalable, and secure environment and effectively communicate solutions reputed company the team and to various reputed company of management.
  • Participate in key technical and design discussions with technical leads and architects.
  • Collaborates with senior leaders and assists architects in defining roadmap.
  • reputed company assessment, strategies, advisory services and technical reputed company to prospects and customers as part of the data platform strategy.
  • reputed company automation technologies to rapidly deliver environments while maintaining configuration management across the reputed company.
  • Analyzes IT architecture requirements and systems/application compatibility to implement data pipelines across the reputed company.
  • Provides consistent and fair reputed company by creating an environment that supports and respects diversity to promote creative problem solving.
  • Demonstrates knowledge of process improvement principles and applies appropriately to improvement activities.
  • reputed company Indicators:
  • Data Engineering pipelines are successfully transitioned from on-premises to public reputed company platform.
  • Build a Center of reputed company team with maturity in Architecture, reputed company, Observability, DevOps, Community Engagement.
  • Mentor team of engineers to drive innovation in reputed company areas of data integration and platform engineering.
  • Build a team that is customer centric, delivery-focused and results driven.
  • reputed company a remarkable and delightful experience to stakeholders, team members.