SENIOR ENGINEERING MANAGER - Project Management

Heres a revised version of the job description tailored for a Technical Program Manager (TPM) role while retaining the focus on Databricks, technical leadership, delivery, and stakeholder management. Technical Program Manager Data Engineering Databricks Key Responsibilities Program Leadership Delivery Management Own end-to-end delivery of Databricks and data engineering initiatives, ensuring projects are delivered on time, within scope, and meet quality expectations. Define program plans, milestones, dependencies, and delivery roadmaps in collaboration with engineering and business stakeholders. Drive execution across multiple workstreams, proactively identifying risks, resolving blockers, and ensuring predictable delivery. Establish governance processes, delivery metrics, and reporting mechanisms to improve execution and transparency. Act as the primary point of accountability for program outcomes, delivery commitments, and cross-functional coordination. Technical Program Management Partner with solution architects and engineering leads to ensure technical solutions align with business objectives and platform standards. Translate business requirements into clear technical execution plans for engineering teams. Facilitate architecture, design, and technical review discussions to ensure alignment with enterprise standards and best practices. Track technical dependencies, implementation risks, and integration requirements across teams. Ensure effective planning for production readiness, release management, and operational support. Engineering Excellence Quality Work closely with engineering leadership to drive adoption of engineering best practices for Databricks development, including: Modular and reusable solutions Testing and validation strategies CI/CD and deployment processes Monitoring, observability, and operational excellence Ensure code reviews, design reviews, and quality gates are incorporated into delivery processes. Monitor delivery quality and drive continuous improvement to reduce defects, rework, and production issues. Stakeholder Cross-Functional Collaboration Partner closely with Product, Engineering, Data Platform, Architecture, and Business teams to align priorities and execution plans. Communicate program status, risks, dependencies, and mitigation plans to technical and executive stakeholders. Facilitate decision-making by providing visibility into trade-offs, resource constraints, and delivery impacts. Manage expectations across internal teams, vendors, and external partners. Vendor Team Management Lead delivery across offshore and distributed engineering teams and vendor partners. Establish clear expectations around ownership, accountability, quality, and delivery. Coordinate work across multiple teams while ensuring alignment with program objectives. Drive continuous improvement in delivery processes, engineering practices, and team effectiveness. Foster a culture of collaboration, accountability, and proactive problem-solving. Risk, Governance Process Improvement Identify delivery, technical, and operational risks early and implement mitigation strategies. Establish program governance frameworks, including RAID logs, change management, and dependency tracking. Define and monitor KPIs related to delivery performance, quality, and operational excellence. Drive process improvements that increase delivery predictability and stakeholder confidence. Required Skills Experience Technical Expertise Strong understanding of modern data engineering platforms and cloud-based data solutions. Experience working with Databricks, including: Delta Lake Databricks Jobs and Workflows Data ingestion and transformation pipelines Performance optimization and operational best practices Solid understanding of: Apache Spark / PySpark SQL Modern data architecture and data engineering patterns (batch, streaming, CDC, incremental processing) Experience working with enterprise-scale data platforms and analytics solutions. Ability to engage effectively with architects and engineering teams on technical design and implementation. Program Delivery Management Proven experience managing large-scale technical programs involving multiple engineering teams. Experience leading offshore or distributed engineering teams and vendor engagements. Strong project and program management skills with experience in Agile delivery methodologies. Demonstrated ability to manage competing priorities, dependencies, risks, and stakeholder expectations. Experience driving execution across cross-functional technical initiatives. Leadership Strong leadership skills with the ability to influence without direct authority. Proven ability to improve delivery discipline, engineering collaboration, and operational efficiency. Excellent decision-making, prioritization, and problem-solving skills. Ability to lead through ambiguity and drive teams toward measurable outcomes. Professional Skills Excellent communication and presentation skills with both technical and executive audiences. Strong stakeholder management and relationship-building capabilities. Ability to balance technical understanding with business priorities. Highly organized with strong planning, coordination, and execution skills. What Success Looks Like Successful delivery of complex Databricks and data platform initiatives with predictable outcomes. High-quality program execution with reduced delivery risks, defects, and rework. Strong collaboration across engineering, product, architecture, and business teams. Improved delivery governance, transparency, and stakeholder confidence. Effective management of vendors and offshore teams with clear ownership and accountability. Continuous improvement in delivery processes, engineering practices, and operational excellence. Engagement Expectations This is a hands-on Technical Program Management role requiring active involvement in planning, execution, governance, and delivery. The individual is expected to work closely with architects and engineering teams to ensure successful execution of technical programs. Responsible for driving program outcomes rather than individual technical implementation. Accountable for delivery excellence, stakeholder communication, risk management, and cross-functional coordination across Databricks and data engineering initiatives. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.