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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: 1. Modular and reusable solutions 2. Testing and validation strategies 3. CI/CD and deployment processes 4. 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: 1. Delta Lake 2. Databricks Jobs and Workflows 3. Data ingestion and transformation pipelines 4. Performance optimization and operational best practices - Solid understanding of: 1. Apache Spark / PySpark 2. SQL 3. 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.