Data Manager/Lead
工作描述
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.
职位要求
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
