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Valtech - Senior/Lead Project Manager

Bulgaria - Remote - Hybrid2d ago

Requirements

• 6+ years of project management experience in a software development environment, including at least 3 years in client-facing roles at a service company or agency. • Technically strong: comfortable discussing architecture, integrations, APIs, environments and release processes with engineers. Able to challenge estimates and spot technical risk early. • Strong command of Agile/Scrum and hybrid delivery setups. • Proven ownership of scope, timeline and budget on medium to large projects. • Experience managing several projects or workstreams at the same time. • Experience leading distributed teams across countries and time zones. • Excellent stakeholder management, including with senior client contacts. • Strong negotiation skills on scope, timelines and change requests. • Calm and constructive in escalations and difficult conversations. • Clear, structured verbal and written communication. • Hands-on with Jira and Confluence, and with MS Office. • English at B2+, with confident spoken English for client calls. • Also considered • Also considered • Candidates with prior Delivery Manager experience, provided they are ready to work hands-on at project level. • A technical background (ex-engineer, BA or QA). • Relevant domain experience. • Previous experience in management Data Engineering/Science projects will be a plus • Hands-on use of AI tooling in delivery. • Professional PM certifications (PMP, PSM, PRINCE2). • Strong hands-on experience with Apache Spark and Delta Lake. • Strong Python and SQL. • Proven experience building batch and streaming pipelines and production-grade data platforms. • Solid understanding of data modeling, data quality, and governance. • Cloud & platforms (key requirement) • Strong, demonstrable hands-on experience with the Databricks Lakehouse Platform, ideally on AWS (e.g., S3, Glue, EMR, Redshift, Kinesis, Lambda). • Databricks Lakehouse Platform • Deep expertise in at least one major cloud (AWS, GCP, or Azure/Fabric), plus demonstrable openness and ability to work across clouds. Candidates with a strong Azure/Fabric background (Data Factory, Synapse, Fabric Lakehouse, Azure Databricks) are encouraged to apply, provided they are keen to work in other clouds. • GCP experience (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc) is highly valued, especially in migration contexts. • Architecture & systems thinking • Experience with lakehouse architectures and distributed systems. • Strong understanding of scalability, reliability, and performance. • Naturally curious, with strong problem-solving skills and a collaborative approach in cross-functional teams. • Comfortable challenging business requirements rather than taking them at face value. • Adaptable and eager to work across platforms. Agile or consulting experience is beneficial. • Hands-on experience across more than one cloud, or cloud migration experience (e.g., Azure to GCP). • Snowflake experience. • GenAI and AI data systems (RAG pipelines, vector databases, LLM data preparation). • CI/CD for data pipelines and infrastructure-as-code (Terraform, CloudFormation). • Streaming technologies (e.g., Kafka), Spark optimization, or ML/experimentation platforms. • Experience building data products or large-scale analytics platforms. • Commitment to reaching all kinds of people • We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.

Responsibilities

• Build & Data Platform Engineering • Design and implement scalable data platforms and pipelines, primarily on AWS and Databricks, and on GCP or Azure/Fabric where projects require. • Develop reliable batch, streaming, and near-real-time pipelines using Spark and Delta Lake. • Build ingestion, transformation, and curation workflows for structured and unstructured data. • Implement lakehouse patterns and medallion layering (bronze, silver, gold), ensuring reusable, scalable systems aligned with enterprise needs. • Contribute to cloud-to-cloud migrations, including re-platforming pipelines and data models. • Enable AI, GenAI & Data Products • Deliver model-ready, production-grade datasets for analytics, ML, causal modeling, and optimization. • Build data pipelines for GenAI use cases (LLMs, RAG, vector-based data flows) and agent-based architectures. • Leverage Databricks MLflow and Unity Catalog, or equivalent tooling on other platforms. • Data Modeling, Orchestration & Automation • Design logical and physical data models for analytical and operational use cases. • Orchestrate workflows with Databricks Workflows, Airflow, dbt, or equivalents (e.g., Azure Data Factory, Cloud Composer), with a focus on automation, reliability, and maintainability. • Architecture, Governance & Observability • Ensure data governance, lineage, quality, and access control (RBAC/ABAC) using Unity Catalog, AWS Lake Formation, or equivalents (Microsoft Purview, GCP Dataplex). • Establish observability: data freshness, pipeline reliability, and SLA adherence. • Data Serving, Integration & Optimization • Enable serving layers (APIs, feature inputs, analytical endpoints) for downstream ML and AI platforms. • Continuously optimize pipelines and infrastructure for performance, scalability, and cost. • Requirements Discovery & Business Partnership • Ask the right questions to understand not just what stakeholders want, but why. • Surface gaps and better alternatives rather than executing a brief as written. • Work closely with data scientists, ML engineers, analysts, and business stakeholders. • Support adoption of data products and contribute to best practices.

Benefits

• Beyond a competitive compensation package, we offer: • Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance. • Co-subsidized transportation & Multisport cards. • Premium health insurance for fast and easy access to top healthcare services. • Training policy for technical and other skills-related events, courses and certifications. • Personal career development roadmap guided by performance evaluations. • Self-care program offering psychological consultations & discussions for you and the team. • Cozy office space designed for comfort and productivity. • Exciting team events and company gatherings. • Your application process • ⚠️ Beware of recruitment fraud! • We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. • Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. • At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. • At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. • Are you ready to create what’s next? Join us.