Enterprise Data/Solutions Architect

Job Responsibilities:

You will be working on scalable data platforms to enable test data management, building a test data warehouse, cross-platform data obfuscation and masking, data generation, etc..

Design & Architecture: Design and architect microservice-driven data solutions, ensuring scalability, reliability, and high performance.

Hands-on Development & SDLC Participation: Actively participate in the Software Development Life Cycle (SDLC), focusing on hands-on development tasks while also overseeing and guiding the development process.

Code Quality & Reviews: Conduct code reviews to ensure best practices, code quality, and adherence to standards across the team.

CI/CD Strategy: Strategize, implement, and optimize secure code promotion and delivery pipelines using Continuous Integration/Continuous Deployment (CI/CD) practices.

Feature Planning & Roadmaps: Collaborate effectively with stakeholders to plan feature implementation and release roadmaps, ensuring alignment with business objectives and timelines.

System Monitoring & Stability: Design and implement best practices to ensure system stability, performance, and observability through tools and metrics.

Security & Compliance: Emphasize and implement security best practices for securing microservices and data solutions. This includes ensuring robust security in CI/CD pipelines, as well as enforcing compliance throughout the software lifecycle to mitigate vulnerabilities and adhere to industry standards.

Skills & Qualifications:

Experience:

12+ years of IT experience, with significant focus on microservice-based architecture and hands-on experience in data-driven application development.

Expertise in developing and designing data streaming services, REST APIs, and data-driven applications using Python libraries (Flask, FastAPI), with a blend of both development and architectural planning.

Hands-on experience with data streaming platforms such as Apache Kafka for real-time data processing.

Extensive experience working with relational databases like Oracle, SQL Server, Snowflake, and NoSQL databases like MongoDB, including PL/SQL, T-SQL, performance tuning, and data modeling.

Deep expertise in cloud platforms, especially Microsoft Azure, with a track record of successful cloud migration projects.

Proficient with Linux/Unix environments and container-based architectures, including Docker, Kubernetes, and shell scripting.

Experience with DevOps tools such as GitHub, Jenkins, Kubernetes, and application security tools like Coverity and Blackduck.

Familiarity with monitoring tools like Splunk, Dynatrace, Datadog, and similar technologies to ensure system performance and observability.

Soft Skills:

Strong leadership abilities and excellent communication skills for leading teams and collaborating with cross-functional groups including development, operations, and product management.

Proven ability to manage stakeholders and align technical solutions with strategic business goals.

Demonstrated adaptability to rapidly evolving technologies and the ability to drive continuous learning and improvement within the team.

Education:

Bachelor's or master's degree in computer science, Information Technology, or a related field.

Good to Have Skills:

Relevant cloud certifications, such as Azure Solutions Architect or equivalent credentials, are preferred.

Experience with serverless architectures (e.g., Azure Functions, AWS Lambda).

Familiarity with big data technologies like Apache Hadoop, Apache Spark, or Databricks.

Expertise in Data Lake and Data Warehouse architecture and implementation (e.g., Azure Synapse, Snowflake, or Google BigQuery).

Familiarity with API Gateway and Service Mesh architectures (e.g., Kong, Istio).

Knowledge of Infrastructure as Code (IaC) tools such as Terraform or Azure ARM templates.

Experience with GraphQL for querying data and Event-Driven Architecture using Apache Kafka or similar platforms.

Exposure to Agile methodologies and DevOps principles for streamlined development and operations processes.