Big Data Cloud 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

As a Data Engineer/ Architect, the candidate will be responsible in leading data engineering efforts to deliver enterprise-wide capabilities and complex data solutions.

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 Jersey City, NJ / Chicago, IL is $115k - $125k/year & benefits (see below).

The Role

Responsibilities:

• Directing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems and working with the Project Management team to defi ne outcomes and inform work structures.
• Job expectations may include managing teammates and providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains.
• Assemble large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems.
• Maintain, improve, clean, and manipulate large data for operational and analytics data systems, build complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicate required information for deployment, maintenance and support of business functionality.
• Utilize multiple architectural components in the design and development of client requirements and collaborate with development teams to understand data requirements and ensure the data architecture is feasible to implement.
• Define and build data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines.
• Contribute to existing test suites including integration, regression, and performance, analyze test reports, identify any test issues and errors and lead triage of underlying causes.
• Lead the identification of gaps in data management standards adherence and work with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes.
• Mentor Data Engineers in the delivery and release of continuous integration and continuous delivery events

Requirements:

You are:

• Experience level 12 - 15 years
• Proven experience as a Big Data Architect or similar role, with a strong understanding of data architecture and cloud computing.
• Proven expertise in designing the Datawarehouse using ETL Informatica Powercenter
• A deep understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) is crucial. Data engineers must choose the right database systems for specific use cases and design efficient data schemas
• Knowledge to build complex business database systems. Their knowledge is associated with operations that tackle data in motion, data at rest, datasets, and the relationship between data-dependent processes and applications.

We can offer you:

• A highly competitive compensation and benefits package
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad
• Laptop and a mobile phone
• 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.