We are seeking a highly experienced Data Architect to join our team. The ideal candidate will be responsible for developing and maintaining the organization’s data architecture, designing and building data models, and ensuring data integration and integrity. This role requires collaboration with cross-functional teams to translate business requirements into effective data solutions.


  • Design, build, and maintain data models, data dictionaries, and data flow diagrams to support the organization’s data architecture.
  • Work closely with cross-functional teams to understand business requirements and translate them into data solutions.
  • Identify and address data gaps and inconsistencies, developing strategies to resolve them.
  • Establish and implement data standards, best practices, and integration strategies.
  • Oversee the data integration process, ensuring seamless data flow across systems.
  • Diagnose and resolve complex issues, including performance bottlenecks and scalability challenges.
  • Evaluate, pilot, and implement emerging technologies to enhance data architecture and solutions.


  • A minimum of 10 years of experience in data solutioning, architecture, design, and development.
  • At least 5 years of experience as a Solution/Data Architect on cloud platforms, with AWS preferred.
  • Extensive experience with ETL/ELT design and development using tools such as Talend, Informatica, Databricks, or Oracle Data Integrator (ODI).
  • Proficient in database architecture with relational SQL databases (e.g., Oracle, PostgreSQL, MySQL) and NoSQL databases (DynamoDB, MongoDB, Elasticsearch).
  • Minimum 2 years of experience with serverless architecture on AWS platforms, including Athena, Glue, EC2, Lambda, and Kinesis.
  • Solid understanding of RESTful API and service-oriented architectures.
  • Knowledge of DevOps, Continuous Integration, and Continuous Delivery technologies.
  • AWS Solution Architect certification (associate or above) is highly desirable.


This position offers an exciting opportunity to lead and innovate within our data architecture framework. The ideal candidate will bring a strategic vision for data architecture aligned with business needs and be a driving force behind the adoption of new technologies.


At Curate Partners, we are not just a staffing agency; we are a bridge to innovation in the digital and data transformation landscape. Our mission is to match dynamic organizations with the ‘Purple Squirrels’ of the talent world—those rare, innovative drivers with unique skills that catalyze change and propel transformation journeys. With a focus on specialized talent, we empower companies and individuals alike to achieve groundbreaking success in their respective fields. Join us, and become part of a purpose-driven team committed to making a measurable impact while advancing your career alongside the most sought-after professionals in the industry.


Curate Partners and their clients are committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion. We embrace the unique contributions that each ‘Purple Squirrel’ brings to our team, regardless of their age, gender, race, ethnicity, national origin, disability status, sexual orientation, or religious belief. We believe that our strength lies in our diversity and in our unified pursuit of innovation, excellence, and transformative success. We are dedicated to providing an environment where all employees and consultants feel valued, included, and empowered to bring their authentic selves to work every day. Join us in our commitment to creating a diverse, inclusive, and innovative workspace where every ‘Purple Squirrel’ can thrive.


  • Q: What are the responsibilities of a Data Architect?
    • A: Responsibilities include designing and implementing database solutions, developing data models, ensuring data quality and integrity, implementing data governance policies, and collaborating with stakeholders to understand data requirements.
  • Q: What qualifications are required for a Data Architect role?
    • A: Qualifications typically include a strong understanding of database systems, proficiency in SQL and ETL tools, experience with data modeling techniques, knowledge of data governance principles, and familiarity with big data technologies and cloud platforms.

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