Lead PySpark Developer Architect

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a highly skilled and experienced Lead PySpark Developer Architect to join our dynamic data engineering team. In this role, candidate will lead the design, development, and optimization of large-scale, fault-tolerant data processing systems. Candidate will leverage deep expertise in PySpark and distributed computing to architect innovative solutions that enable efficient data pipelines and analytics.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $135k - $145k/year & benefits (see below).

The Role

Responsibilities:

• Lead the development and architecture of scalable data processing systems using PySpark.
• Design and implement efficient and reliable data pipelines, data lakes, and ETL workflows.
• Fine-tune Spark applications for optimal performance, including configuration tuning, memory management, and resource allocation.
• Collaborate with data engineers, data scientists, and stakeholders to understand data processing requirements and deliver robust solutions.
• Manage and optimize Spark clusters, ensuring high availability and performance, utilizing tools like Kubernetes, YARN, and Mesos.
• Work with big data storage solutions such as HDFS, S3, Parquet, and ORC to manage data storage and retrieval efficiently.
• Utilize Spark SQL, DataFrames, and Dataset APIs to perform complex data transformations and analytics.
• Apply best practices in distributed computing principles and stay current with the latest technologies and trends in big data processing.

Requirements:

• 10+ Years experience as a Lead Spark Developer, Data Engineer, or similar role with extensive hands-on PySpark experience.
• Strong proficiency in Python and Spark APIs.
• Deep understanding of distributed computing principles, architectures, and best practices.
• Expertise in designing and developing fault-tolerant and scalable data processing systems.
• Strong skills in tuning Spark applications, including configuration, memory, and resource management.
• Experience with cluster management tools such as Kubernetes, YARN, or Mesos.
• Practical knowledge of big data storage solutions including HDFS, S3, and formats like Parquet and ORC.
• Demonstrated ability to design and implement efficient data pipelines and data lakes.
• Excellent problem-solving, communication, and collaboration skills.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

S YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.