Data Architect

**About Material**

Material is a global strategy, insights, design, and technology partner to companies striving for true customer centricity and ongoing relevance in a digital first, customer-led world. By leveraging proprietary, science-based tools that enable human understanding, we inform and create customer-centric business models and experiences + deploy measurement systems - to build transformational relationships between businesses and the people they serve.

**About Srijan**

Srijan is a global engineering firm that builds transformative digital paths to better futures for Fortune 500 enterprises to nonprofits all over the world. Srijan brings advanced engineering capabilities and agile practices to some of the biggest names across FMCG, Aviation, Telecom, Technology, and others. We help businesses embrace the digital future with cloud, data, API and platform centric technologies and adapt to changing business models and market demands. Srijan leads in Drupal with 350+ Drupal engineers, 80+ Acquia certifications. Srijan is also a Drupal Enterprise Partner & Diamond Certified

**Requirements**:
8+ years of experience in designing, implementing, and managing data-intensive systems.

Expertise in data-intensive systems, including data architectures, storage solutions, and data processing workflows.

Experience with Kubernetes and other container orchestration technologies.

Experience with at least one data orchestration tool, such as Apache Airflow, Apache NiFi, Kedro, Stepfunction or Similar Technologies.

Experience with at least one distributed data processing framework, such as Apache Spark, Apache Flink, Apache Beam or Similar Technologies.

Very strong experience in stream processing, including real-time data processing, data ingestion, and data transformations.

Experience with an event queuing system, such as Apache Kafka, AWS Kinesis, or Azure Event Hubs.

Strong experience with cloud platforms such as AWS, Azure, or GCP.

Advanced experience with CI/CD pipelines and tools such as Jenkins, GitLab, or CircleCI, including infrastructure as code, automated testing, and continuous monitoring.

Excellent analytical and problem-solving skills.

Strong leadership and communication skills with the ability to collaborate with cross-functional teams.

Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.

**Responsibilities**:
Collaborate with clients and internal stakeholders to identify business requirements and design innovative solutions that meet their needs.

Lead architecture design, development, and deployment of complex data-intensive systems using Kubernetes, data orchestration tools, distributed data processing frameworks, event queuing systems, and other modern technologies.

Provide technical expertise and leadership to the project team, ensuring successful delivery of high-quality solutions on time and within budget.

Design and implement efficient data architectures, storage solutions, and data processing workflows, with a focus on stream processing, event queuing capabilities, and advanced CI/CD pipelines.

Provide guidance and support to development teams in coding, testing, and implementing solutions.

Ensure the scalability, performance, and security of data-intensive systems, with a particular focus on stream processing, event queuing capabilities, and advanced CI/CD pipelines.

Stay current with emerging trends and technologies in data-intensive systems and provide thought leadership on best practices and solutions.

Collaborate with sales and marketing teams to develop proposals and pitches that demonstrate our expertise in data-intensive systems, Kubernetes, data orchestration tools, distributed data processing frameworks, stream processing capabilities, event queuing systems, and advanced CI/CD pipelines.