Python Data Architect IRC279381

Description

ADO is a new initiative in Anaplan. It is meant to add a layer to Anaplan’s platform to manage all data flows and transforms from external sources. It is geared at providing automated, seamless data connection to Anaplan Apps and end-users.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.

9-12 years of professional experience in data engineering and architecture roles.

Strong programming skills in Python with experience in building data-centric applications.

Solid experience with data modeling, data lakes, and data warehousing solutions.

Expertise in relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).

Proven experience designing and managing cloud-based data infrastructure (e.g., AWS, GCP, or Azure).

Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, Luigi).

Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) is a plus.

API Design: Strong knowledge of RESTful API design and implementation; knowledge of GraphQL is a plus.

Security Best Practices: Awareness of security best practices in software development.

Stream Processing: Experience with Apache Flink, Apache Druid or other stream processing frameworks is a must have.

Team Collaboration: Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Cloud Services: Experience with cloud platforms like AWS, GCP, or Azure.

DevOps Tools: Familiarity with containerization (Docker) and infrastructure automation tools like Terraform or Ansible.

Real-time Data Streaming: Experience with Apache Pulsar or similar systems for real-time messaging and stream processing is a plus.

Data Engineering: Experience with Apache Spark, Databricks, or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows.

Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems.

Job responsibilities

Design and implement scalable, secure, and high-performance data architectures for enterprise-level applications.

Develop and optimize complex ETL/ELT pipelines using Python and modern data engineering tools.

Collaborate with data scientists, analysts, and engineers to ensure data is available, reliable, and accessible.

Define and implement data governance, data quality, and metadata management standards.

Lead database and data warehouse modeling (e.g., OLAP/OLTP systems, star/snowflake schemas).

Architect solutions on cloud platforms (e.g., AWS, Azure, GCP) using services such as S3, Redshift, BigQuery, Snowflake, or Azure Data Lake.

Evaluate, recommend, and implement tools and technologies that enhance the data architecture.

Collaboration & Communication: Work closely with product managers, designers, and other engineers to understand requirements and deliver solutions that meet business goals.

Code Quality & Testing: Write clean, efficient code, and ensure robust testing practices. Contribute to code reviews, ensuring adherence to best practices for test-driven development (TDD) and maintaining high code quality.

Mentorship & Leadership: Provide technical mentorship to junior and mid-level engineers. Guide the team in coding practices, architecture decisions, and problem-solving approaches.

Debugging and Optimization: Troubleshoot and debug production issues. Optimize applications for performance and responsiveness.

Stay Up to Date with Technology: Keep yourself and the team updated on the latest Python technologies, frameworks, and tools like Apache Spark, Databricks, Apache Pulsar, Apache Airflow, Temporal, and Apache Flink, sharing knowledge and suggesting improvements.

Documentation: Contribute to clear and concise documentation for software, processes, and systems to ensure team alignment and knowledge sharing.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.