Who We Are
For more than 20 years, we have been working with organizations large and small to help solve business challenges through technology. We bring a unique combination of engineering and strategy to Make Data Work for organizations.
Our clients range from the travel and leisure industry to publishing, retail and banking. The common thread between our clients is their commitment to making data work as seen through their investment in those efforts.
In our quest to solve data challenges for our clients, we work with large enterprise, cloud based and marketing technology suites. We have a deep understanding of these solutions so we can help our clients make the most of their investment in an efficient way to have a data driven business.
Softcrylic now joins forces with Hexaware to Make Data Work in bigger ways!
Why Work at Softcrylic?
Softcrylic provides an engaging, team-focused, and rewarding work environment where people are excited about the work they do and passionate about delivering creative solutions to our clients.
We are looking to add a Data Architect to our team! This is a Full-Time position and work location is in New Jersey, NJ.
Job Summary:
We are seeking an experienced Data Architect to drive our data strategy for the Private Banking and Investment Management business lines. The ideal candidate will have extensive experience with modern data platforms, including big data, relational/non-relational databases, data warehousing, analytics, machine learning, and data lakes.
Key Responsibilities:
- Lead the migration of legacy Oracle Data Warehouses to a new, modern data platform using Oracle Exadata and Cloudera technologies.
- Develop and support a secure data platform on Cloudera’s on-prem infrastructure, facilitating data-driven decision-making across the organization.
- Collaborate with cross-functional teams to understand data needs and design solutions that align with business objectives.
- Provide ongoing technical leadership and mentorship to the development team, ensuring the successful implementation of the data strategy and roadmap.
- Ensure the performance, scalability, and reliability of the data platform through best practices in ETL/ELT development and data processing.
Primary Responsibilities:
- Data Strategy & Roadmap Development: Contribute to the strategic planning of data initiatives and develop the organization’s data strategy and roadmap, specifically for Private Banking and Investment Management business lines.
- Modern Data Platform Expertise: Leverage expertise in modern data platforms, supporting big data, relational/non-relational databases, data warehousing, analytics, machine learning, and data lakes.
- Legacy Data Warehouse Migration: Define and execute a strategy to migrate legacy Oracle Data Warehouses to a new data platform, utilizing Oracle Exadata and Cloudera’s distribution technology.
- Data Platform Development: Facilitate the establishment of a secure and scalable data platform on an on-premise Cloudera infrastructure.
- ETL/ELT Development: Design, document, and develop ETL/ELT logic and data flows, enabling easy access to data assets, both in batch processing and real-time streaming environments.
- Platform Migration & Operationalization: Migrate, operationalize, and provide ongoing support for the data platform, ensuring stability, performance, and scalability.
- Technical Leadership: Manage and provide technical guidance to the development team, ensuring adherence to best practices, standards, and architectural principles.
- Performance Optimization: Optimize SQL queries, Spark jobs, and overall data workflows for performance and efficiency.
- End-to-End SDLC Support: Provide support across the entire development lifecycle, adhering to SDLC processes and Agile methodologies.
Key Skills and Qualifications:
- Educational Background: Bachelor’s degree in Computer Science or a related technical field, or equivalent experience.
- Experience: 10+ years of IT experience with a focus on hands-on development and data architecture.
- Data Warehousing: 6+ years of real-world data warehousing project experience, with a deep understanding of architectural principles and design patterns.
- Snowflake & Spark: Strong hands-on experience with Snowflake for data warehousing and Spark for data processing.
- Kafka: Proficient in using Kafka for real-time data streaming and processing.
- ETL/ELT Workflow Design: Proven experience in designing efficient and robust ETL/ELT workflows and job scheduling.
- Performance Tuning: Expertise in performance tuning of SQL queries and Spark jobs.
- Tool Proficiency: Experience with Git, Jira, and Agile methodologies.
- Communication Skills: Strong written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Analytical Skills: Excellent analytical and problem-solving abilities, with a self-driven attitude and the capability to work both independently and as part of a team.