What you will be responsible for

As Data Engineering Lead you will:
• Lead the design, development, and deployment of solutions across use cases such as document processing, intelligent agents, and automation frameworks
• Collaborate with cross-functional teams to translate business needs into data-driven workflows using modern orchestration tools
• Promote responsible practices including security, compliance, and explainability, while ensuring robust deployment
• Establish reusable frameworks, evaluation pipelines, and scalable components to accelerate adoption and maintain consistency
• Prioritize initiatives, manage delivery timelines, and align efforts with enterprise goals

What we value

These skills will help you succeed in this role
• Solid understanding of modern data engineering concepts and emerging technologies
• Strong experience with Oracle Database, including schema design, data modeling, and performance optimization
• Advanced proficiency in PL/SQL development, including stored procedures, packages, triggers, and functions
• Expertise in SQL query tuning and performance optimization, including execution plan analysis and indexing strategies
• Hands-on experience with Oracle performance diagnostics tools (e.g., AWR, ASH, explain plans)
• Solid understanding of database architecture, data integrity, and transaction management
• Experience with data migration, integration, and ETL processes involving Oracle systems
• Hands-on experience with Snowflake, including data warehousing, query performance tuning, and data pipeline integration
• Proficiency in Azure cloud services, such as Azure SQL, Azure Data Factory, Azure Storage, or Azure Virtual Machines
• Experience designing and supporting cloud-based data solutions and hybrid (on-prem + cloud) architectures
• Familiarity with data security, access control, and governance in cloud environments
• Strong scripting skills (e.g., Shell, Python) for automation and data processing
• Experience with version control systems (Git/Bitbucket) and CI/CD pipelines
• Understanding of batch processing, job scheduling, and file-based integrations
• Familiarity with Unix/Linux environments for database and application support
• Familiarity with distributed systems, orchestration tools, and API integration
• Strong foundation in software engineering principles including OOPS, design patterns, data structures, and algorithms
• Ability to manage and support multiple workflows or agents in parallel
• Awareness of responsible technology principles and practices, including fairness, transparency, and safety
• Experience building reusable components, libraries, and frameworks to accelerate development
• A proactive mindset with the ability to work independently and guide teams under general supervision

Education & Preferred Qualifications
• Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field,
• Overall 12 + years in IT delivery including 3+ years of hands-on experience in AI/ML and data engineering, with a strong foundation in enterprise-scale solution development
• Strong hands-on expertise in Python, Apache Spark, PySpark, and Databricks for large-scale data processing and AI model development
• Proven ability to design, deploy, and evaluate machine learning and generative AI models using platforms such as OpenAI, Hugging Face, Azure OpenAI, and orchestration tools like LangChain
• Solid understanding of AI evaluation frameworks, responsible AI practices, and experience building reusable libraries and scalable pipelines
• Effective communicator and collaborator with experience influencing cross-functional teams and stakeholders in complex, regulated environments

Additional requirements

Work Requirement

• John Adams Building, North Quincy, MA
• 9 to 5 PM EST