Sr. Data Analytics Architect

We are looking for a Sr. Data Analytics Architect will be responsible for designing, implementing, and maintaining data pipelines and infrastructure to support our organization's data-driven decision-making processes. You will work closely with analysts and other stakeholders to ensure data availability, quality, and reliability.

Responsibilities:

Design, build, and maintain robust data pipelines that extract, transform, and load (ETL) data from various sources into data warehouses or data lakes. These pipelines should be scalable and efficient

Manage and optimize data warehouses to ensure high performance, availability, and scalability

Implement best practices for data modeling and schema design

Integrate data from different systems and sources, ensuring data consistency and accuracy

Collaborate with cross-functional teams to understand data requirements

Implement data quality checks and validation processes to identify and rectify data inconsistencies or anomalies

Ensure data is accurate, complete, and up-to-date

Optimize data processing and query performance to meet business requirements

Identify and resolve bottlenecks in data pipelines and database systems

Implement and maintain data security measures to protect sensitive information

Follow best practices for data encryption, access control, and compliance with data privacy regulations

Create and maintain documentation for data pipelines, processes, and data schemas and ensure knowledge sharing within the team

Set up monitoring and alerting systems to proactively detect and address issues with data pipelines and infrastructure

Perform troubleshooting and root cause analysis

Design systems that can scale with growing data volumes

Automate routine tasks to improve operational efficiency

Collaborate with analysts, software engineers, and other stakeholders to understand data requirements and deliver solutions that meet their needs

Stay updated on emerging technologies and tools in the data engineering field

Evaluate and recommend new technologies that can enhance data processing capabilities

Basic Qualifications:

Bachelor’s degree in computer science, or related field

Proven 5+ years of experience as a Data Engineer, preferably in a senior or lead role

Strong programming skills in languages such as Python, Java, or Scala

Proficiency in SQL and experience with relational and NoSQL databases

Expertise in data warehousing and ETL processes

Familiarity with data integration and data modeling concepts

Knowledge of big data technologies such as Hadoop, Spark, or Kafka is a plus

Experience with cloud platforms like AWS, Azure, or Google Cloud

Strong problem-solving and troubleshooting skills

Excellent communication and collaboration skills