Senior Scala Manager Data Engineering

We are looking for a technically strong Data Engineering Leader who can drive initiatives across data lake infrastructure, large-scale data pipelines, and analytics platforms. This role demands a blend of technical depth, hands-on engineering skills, and leadership capabilities.

The ideal candidate will have a strong foundation in data architecture and engineering, lead cross-functional technical teams, and translate complex business needs into scalable data solutions. You will work closely with product owners, architects, and business stakeholders to deliver high-impact outcomes that are both technically robust and business-relevant.

Your Impact

Leadership & Communication

• Proven ability to lead and mentor cross-functional engineering teams.
• Skilled in engaging with business stakeholders and senior leadership.
• Adept at translating business challenges into actionable technical solutions.

Data Architecture & Engineering

• Strong expertise in data modeling, ETL/ELT pipelines, and data lake design.
• Proficient in Scala, apart from Apache Spark, NoSQL databases, and SQL/Python for data transformation.
• Hands-on experience with AWS or Azure data services (e.g., S3, Glue, Redshift, Databricks, Synapse).
• Experience with data performance optimization, scalability, and cost-efficiency in cloud environments.

Gen AI & Copilot-Style Integration

• Exposure to integrating LLMs (OpenAI, Azure OpenAI, etc.) into business workflows.
• Familiarity with Copilot-style interfaces, prompt engineering, embeddings, and RAG architectures.

MLOps & AI Agent Frameworks

• Exposure to LangChain, Semantic Kernel, or similar agentic AI frameworks.
• Experience deploying ML models or AI agents into production

Skills & Experience

• 10+ years of experience in data engineering, with a strong emphasis on Big Data architectures and distributed systems
• Proven expertise with Big Data and streaming technologies such as Hadoop, Spark, Kafka, Flink, and similar frameworks
• Hands-on experience designing and operating cloud-based data platforms on AWS, Azure, or GCP
• Strong programming skills in Python, Scala, and/or Java for large-scale data processing and analytics
• Extensive experience building, orchestrating, and optimizing ETL/ELT pipelines using tools such as Apache NiFi, Airflow, Talend, or equivalent
• Deep understanding of data modeling, data lakes, data warehousing, and modern analytics architectures
• Strong knowledge of SQL and NoSQL databases, metadata management, data quality, and data governance frameworks
• Experience with Business Intelligence (BI) tools such as Power BI, Tableau, or similar platforms
• Solid financial services domain knowledge, including experience in wealth management or asset management, and familiarity with financial data structures, regulatory reporting, and analytics use cases
• Strong problem-solving and analytical skills, with a focus on performance optimization, scalability, and reliability
• Proven experience leading and mentoring data engineering teams within an Agile delivery environment
• Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business insights
• Advance English

Set Yourself Apart With

• Certifications in Big Data technologies (e.g., AWS Certified Big Data – Specialty, Google Professional Data Engineer, Cloudera Certified Professional).
• Experience in real-time data processing, event-driven architectures, and streaming analytics.
• Knowledge of AI/ML frameworks and their integration with Big Data platforms.
• Expertise in data security, compliance, and governance best practices.
• Background in financial services, retail, or other data-intensive industries.

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.