Data Solution Architect (Data Engineering)

Data Solutions Architect

Roles & Responsibilities

• Architecture & Strategy:

  Design and implement scalable, modular, and future-proof data architectures that support

  R&D

  initiatives. You will develop enterprise-wide data frameworks that ensure data is governed, secure, and accessible across various business domains.

• Data Pipelines & Optimization:

  Lead the development of high-performance data pipelines for both batch and real-time data processing. You will optimize query performance and storage strategies to enhance scalability, cost-efficiency, and analytical capabilities.

• Governance & Compliance:

  Drive data governance strategies, ensuring that security, compliance, access controls, and lineage tracking are embedded into all enterprise data solutions.

• Agile Leadership & Collaboration:

  Lead

  Scaled Agile (SAFe)

  practices, including

  Program Increment (PI) Planning

  and other ceremonies. You will collaborate with business stakeholders, product teams, and technology leaders to align data architecture strategies with organizational goals.

• Innovation & Best Practices:

  Act as a trusted advisor on emerging data technologies and trends. You will implement

  DataOps

  best practices, including

  CI/CD

  for data pipelines and automated monitoring.

Qualifications

• A Doctorate degree with 3-5+ years of experience, a Master's degree with 6-8+ years of experience, or a Bachelor's degree with 8-10+ years of experience in Computer Science, IT, or a related field.
• Experience in data architecture, enterprise data management, and cloud-based analytics solutions.
• Expertise in

  Databricks

  , cloud-native data platforms, and distributed computing frameworks like

  Apache Spark

  and

  Apache Airflow

  .
• Strong proficiency in modern data modeling techniques, including dimensional modeling,

  NoSQL

  , and data virtualization.
• Hands-on experience with

  CI/CD

  for data solutions,

  DataOps

  automation, and infrastructure as code (

  IaC

  ).
• Experience with

  SQL/NoSQL

  databases and vector databases for large language models.
• Certifications such as

  AWS Certified Data Engineer

  and

  Databricks Certificate

  are preferred.

Soft Skills

• Leadership & Strategy:

  Strong problem-solving, strategic thinking, and technical leadership skills.

• Collaboration:

  Proven ability to collaborate with cross-functional and global teams to drive successful data initiatives.

• Communication:

  Strong verbal and written communication skills, with the ability to effectively present complex technical concepts.

• Adaptability:

  The ability to learn quickly, manage multiple priorities, and work effectively in a fast-paced environment.