Technical Lead

Technical Architect / Technical Lead

JOB RESPONSIBILITIES

• Lead end-to-end solution architecture for

  enterprise platforms and data processing pipelines

  , leveraging technologies such as

  Appian

  ,

  Java/Spring Boot

  ,

  Python

  , and

  PySpark

  .
• Design scalable, secure, and maintainable microservices-based architectures integrating

  REST APIs

  ,

  Kafka streams

  , and

  data pipelines

  for real-time and batch processing.
• Architect data engineering workflows on

  Cloudera Hadoop ecosystem

  , including tools such as

  Hive

  ,

  Hue

  ,

  Impala

  ,

  HBase

  , and

  Elasticsearch

  for big data storage, processing, and retrieval.
• Provide architectural guidance on

  SQL Server database design

  , indexing strategies, stored procedures, and data modelling for transactional and analytical workloads.
• Define and optimize

  streaming architectures

  using

  Apache Kafka

  , ensuring event-driven and loosely coupled integration between systems.
• Oversee the implementation of

  automation and orchestration scripts

  using

  PowerShell

  for system and infrastructure-level tasks.
• Collaborate with cross-functional teams including

  Product Owners, Developers, QA, DevOps

  , and

  Infrastructure Engineers

  to align technical vision and execution.
• Translate complex business requirements into scalable and reliable technical solutions, aligned with best practices in security, performance, and cloud-readiness.
• Participate in and drive

  architecture review boards

  , perform design reviews, and ensure compliance with architectural standards and governance.
• Lead solution planning activities during

  Program Increment (PI) Planning

  and provide hands-on support throughout

  Agile sprint cycles

  .
• Ensure documentation of architecture, design patterns, data flow diagrams, integration points, and infrastructure requirements.
• Mentor development teams on implementation strategies, coding standards, and performance optimization.
• [Optional] Contribute to

  cloud adoption strategies

  , evaluating and designing cloud-native and hybrid solutions on

  AWS or OCI

  based on business needs.

RELEVANT EXPERIENCE & QUALIFICATIONS:

• Bachelors or Master’s degree in

  Computer Science, IT, Electronics, Communication

  , or related engineering field.
• Minimum

  10 years of industry experience

  , with at least

  3+ years in an architect or lead role

  , designing and delivering large-scale enterprise applications or data solutions.
• Proven experience architecting backend systems using

  Java

  and

  Spring Boot

  frameworks.
• Strong development background in

  Python

  , with hands-on experience in

  PySpark

  for distributed data processing.
• In-depth experience designing solutions within

  Hadoop ecosystems

  , especially

  Cloudera

  , using

  Hive, Hue, Impala, HBase

  , and

  Elasticsearch

  .
• Strong expertise in

  MS SQL Server

  , including performance tuning, indexing, stored procedure design, and advanced SQL development.
• Demonstrated ability to design and implement

  Kafka-based streaming architectures

  in complex enterprise environments.
• Experience with

  PowerShell scripting

  for system automation and DevOps workflows.
• Working knowledge of

  Agile methodologies (Scrum/SAFe)

  , with involvement in Agile ceremonies and story point estimations.
• Familiarity with version control systems, Agile boards, and collaboration tools like

  Bitbucket

  and

  Jira

  .
• Excellent communication and stakeholder management skills, with a proven ability to influence technical decisions and drive architectural alignment.
• [Optional] Experience architecting or migrating enterprise workloads to

  AWS

  or

  OCI

  , with understanding of cloud-native design principles.

SKILLS & COMPETENCIES:

• Strategic thinking with the ability to create long-term solution blueprints.
• Strong problem-solving skills and ability to make data-driven architectural decisions.
• Exceptional interpersonal and leadership skills, with the ability to guide and mentor cross-functional teams.
• Adaptable to a fast-paced, changing environment, with strong prioritization skills.
• Effective communicator across technical and non-technical audiences in global and cross-cultural teams