Data Architect

at  Capgemini

REQUIRED SKILLS:

• Required minimum 12 Years’ of experience in Data Engineering Field with 8+ Years of experience as Data Architect.
• Must have deep knowledge of data management tools and frameworks, must have intimately familiar with an extensive range of data-related technologies such as SQL/NoSQL databases, ETL/ELT tools,
• Must have a data architect’s experience with popular tools such as Microsoft Power BI and Tableau.
• Problem-solving and critical thinking capabilities.
• Should be familiar with Metadata management skills.
• Understanding of programming languages like Python, Scala and Java and should be able to write code as required.
• Java, Python, Standard query language (SQL): It is used to access and manipulate relational database information, Scala: This language is used by Apache Spark, Kafka.
• Should have ability to create data models and Must have experience in ETL orchestration and workflow management tools like Airflow, or Oozie.
• Experience in Spark, Snowflake & Databricks.
• Proficient in Database fundamentals, SQL and distributed computing.
• Excellent interpersonal skills!
• 5+ years of proven experience leading other Engineers.

JOB ROLE:

As a Data Architect, you will build distributed data processing solution and highly loaded database solutions for various cases including reporting, product analytics, marketing optimization and financial reporting. Manage a team of experienced data engineers working on the foundation for decision-making at a company dealing with billions of events per day. Contribute as part of R&D self-organized team working in an exciting, innovative environment for our client.
Investigate, build, and implement the solutions for existing technical challenges. Provide mentorship, instruction, direction, leadership to a development team with the purpose of achieving project goals.

KEY RESPONSIBILITIES:

• Coordinates the work of direct subordinates.
• Ensures effective communication between all partners related to team’s area of responsibility and deliveries.
• Ensure high quality development standards (unit/integration tests, etc.).
• Makes team to work according to development process established on the project/within the team to take end-to-end ownership on their AOR and tasks.
• Reports about area readiness/quality and raises red flags in crisis situations beyond their AOR.
• Responsible for resolving crisis situations within their AOR.
• Participates in software development implementation work.
• Prepares functional and design specifications of computer-based systems.
• Ensures the project team is provided with all required technical tools for efficient project delivery.
• Responsible for reviewing delivery achievement and mentoring more junior team member.
• Oversees and evaluates team members’ performance according to established procedures;
• Collaborating with non-technical business users.
• Designing data infrastructure and working on its continuous improvement.
• Adhering to security and regulatory compliance norms & defining data governance policies.