Technology Architect_ Databricks

Infosys Limited
London, UK
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Amazon Web Services Amazon S3 Data as a Services Data Governance Data Transformation IBM DB2 Meta-Data Management Microsoft SQL Server SQL Databases Data Streaming Cloud Platform System Apache Spark
+8 more
Data Lakes Pyspark Apache Kafka Data Management Video Streaming Legacy Systems Confluent Databricks

Job description

We are looking for a Data Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. The role focuses on integrating legacy systems with cloud-native platforms to support analytics, reporting, and domain-owned data products., * Build and maintain batch and streaming data pipelines from legacy mainframe DB2 and on prem SQL Server systems into an AWS-based data lake.

  • Implement real-time ingestion using Confluent Kafka and land data in Amazon S3.
  • Develop data transformations and analytics pipelines in Databricks using the medallion architecture (Bronze, Silver, Gold).
  • Design and deliver high-quality, reusable data products aligned to data mesh principles.
  • Ensure data quality, reliability, security, and governance across pipelines.
  • Collaborate with domain teams, platform teams, and stakeholders to enable self-serve analytics and consumption.

Requirements

  • Strong experience with Databricks (Spark, PySpark/SQL) and data lake architectures.
  • Hands-on experience with streaming technologies, especially Kafka / Confluent Kafka.
  • Experience integrating legacy data sources such as DB2 (mainframe) and SQL Server.
  • Working knowledge of AWS data services, especially S3.
  • Understanding of data product thinking, data mesh concepts, and modern data engineering best practices., * Experience in banking or financial services data platforms.
  • Familiarity with data governance, metadata management, and regulatory reporting

Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: *High analytical skills *A high degree of initiative and flexibility *High customer orientation *High quality awareness *Excellent verbal and written communication skills

About the company

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. ***

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on sjobs.brassring.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

5:08 min

Automating data collection and managing crowdsourced training image sets

Kris Howard · LIVE

Videos

See all

Related articles

See all