Data Manager/Lead

Description

Summary: Seeking a Data Manager / Data Engineering Lead to design, develop, and maintain end-to-end data solutions, acting as a subject matter expert and mentor. Highlights: 1. Lead design and evolution of end-to-end data architectures and pipelines 2. Serve as subject matter expert and technical authority in data engineering 3. Define and improve data governance, security, and compliance practices **Accenture Technology** Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. We are seeking a highly qualified professional to join our team as a **Data Manager / Data Engineering Lead**. In this role, you will be responsible for designing, developing, and maintaining end‑to‑end data solutions for data generation, collection, processing, and consumption. You will operate independently as a subject matter expert, contributing to technical decision‑making, mentoring the team, and ensuring reliable, scalable, and well‑governed data platforms. **Qualifications** * \+10 years of experience in **Data Engineering and data solution design**, with strong architectural mindset. * Solid expertise in **data modeling, database design, and system integration** at scale. * Strong hands\-on experience with **cloud\-based data platforms** and large\-scale data environments. * Advanced knowledge of **ETL/ELT pipelines, data governance, and best practices** for data quality and security. * Proven ability to work with **large datasets**, optimizing data storage and processing performance. * Strong **analytical, problem\-solving, and communication skills**, enabling effective collaboration with cross\-functional teams. **Responsibilities** * Lead the **design, development, and evolution of end\-to\-end data architectures and pipelines**, ensuring scalable, resilient, and business\-aligned data solutions across the organization. * Own and oversee **complex ETL/ELT strategies.** * Ensure **enterprise\-level data quality, reliability, and consistency.** * Proactively **monitor, optimize, and future\-proof data pipelines** with a strong focus on performance, cost efficiency, scalability, and high availability in production environments. * Act as a **technical partner to stakeholders and cross\-functional teams**, translating business requirements into robust data solutions and influencing architectural decisions. * Serve as a **subject matter expert and technical authority**, leading the resolution of complex data engineering challenges, mentoring peers, and supporting critical design decisions. * Define, enforce, and continuously improve **data governance, security, and compliance practices**, ensuring alignment with organizational and regulatory standards. * Own the **documentation of data architectures, integration patterns, and operational procedures**, ensuring knowledge is transferable and systems are maintainable at scale. * Contribute actively to **technical leadership within the team**, participating in architectural discussions, design reviews, and continuous improvement initiatives. * Stay at the forefront of **emerging data engineering trends and technologies**, evaluating and selectively integrating innovative approaches that deliver clear business value. **Nice to Have** * Advanced proficiency in data processing frameworks and distributed systems * Experience with data migrations and large\-scale platform transformations * Exposure to streaming platforms and real\-time data processing * Familiarity with DevOps or DataOps practices * Experience leading or mentoring data engineering teams **Additional Information** * **Location**: Lisbon * **Working Model**: Hybrid