Data Architect

We are looking for a savvy Data Architect to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. 

Responsibilities:

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure/GCP ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Data Architect, Product Owner, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Requirements:

• Minimum 10+ years of design & development experience with at least 6 years of experience with big data technologies.
• Proficient in one of the object-oriented and functional languages: Python, Java, Scala, etc.
• Experience with big data tools: Spark, Kafka, etc.
• Experience with relational SQL like SQL Server, Postgres and NoSQL databases e.g Cassandra etc.
• Experience with data pipeline and workflow management tools: Airflow, etc.
• Experience with one of cloud data analytic services GCP/Azure/AWS.
• Experience with stream-processing systems: Spark-Streaming, Flink etc.
• Experience in ensuring data quality in big data pipelines. Unit testing of big data pipelines.
• Advanced working SQL Analytical Queries knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Best Security practice in Data computing, including encryption of sensitive data, encryption at rest and encryption in flight.
• Strong analytic skills related to working with unstructured datasets.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment

We have an amazing team of 700+ individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. 

To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/