Principal Data Architect

Infinite Computer Solutions; Bengaluru Urban; Hybrid; INR 6,000,000 - 9,000,000; Full time

Benefits offered by this job

Databricks certifications

Azure Solutions Architect Expert

Job summary

Infinite Computer Solutions seeks a Principal Data Architect to lead end-to-end data platform design and delivery in a hybrid Bangalore setting. You will shape architecture for complex data sources, govern data assets, and drive modern lakehouse patterns using Azure Databricks and Delta Lake.

You will partner with cross-functional teams, ensure security and compliance, and own the EDT backlog from SIT to go-live, providing technical leadership through production deployment, hypercare, and

Qualifications

• Hands-on architect with data platform delivery experience.
• Translate complex business needs into scalable technical solutions.
• Proven leadership across stakeholders and multiple teams.

Responsibilities

• Own end-to-end EDT architecture for prioritized data sources.
• Lead source assessment, architecture decisions, mappings, and data design with security and observability.
• Define reusable ingestion patterns for batch processing and schema evolution.
• Establish data-quality and reconciliation controls with traceability.
• Backlog planning from SIT/UAT to go-live and cutover.
• Collaborate with Concur, AppZen, Workday, EDT, security, PMO, and stakeholders.
• Provide technical leadership and review implementation quality.
• Own readiness through SIT, UAT, production, hypercare, and transition.

Skills

Data architecture

Azure Databricks

Delta Lake

Unity Catalog

Spark

Data governance

SaaS integrations

ETL design

Security compliance

SIT/UAT

Legacy modernization

Production support

Job description

Infinite Computer Solutions is hiring Principal Data Architects .

Experience: 10-15Years

Location: Bangalore only

Mode of Work: Hybrid

Job Description:

Roles and Responsibilities:

• Own the end-to-end EDT architecture for prioritized Concur, SAE/ADE, DDS, AppZen, and Workday data, aligned with Stryker's established Azure Databricks and data-platform patterns.
• Lead source assessment, architecture decisions, source-to-target mappings, curated-data design, security, orchestration, monitoring, and non-functional requirements.
• Define reusable ingestion patterns for daily batch processing, schema evolution, restart and recovery, error handling, observability, and operational support.
• Establish data-quality and reconciliation controls that provide traceability between source extracts, existing reporting logic, and target data products.
• Convert the L1 program plan into an executable EDT backlog, prioritizing the sources and data objects required for SIT, UAT, cutover, and go-live.
• Partner with Concur, AppZen, Workday, EDT, security, PMO, and business stakeholders to resolve dependencies and prevent upstream changes from disrupting delivery.
• Provide technical leadership and design guidance to the engineering team, review implementation quality, and make pragmatic scope decisions within fixed pod capacity.
• Own technical readiness through SIT, UAT, production deployment, hypercare, documentation, and transition.

Must Have skills:

• Hands-on, delivery-focused architect with experience leading data platform implementations from design through production support.
• Strong problem-solving mindset with the ability to translate ambiguous business requirements into scalable technical solutions.
• Proven leadership working across business stakeholders, engineering teams, platform teams, and program leadership.
• Advanced experience with Azure Databricks, Delta Lake, Unity Catalog, Spark, and modern Lakehouse architectures.
• Experience designing enterprise data platforms spanning ingestion, transformation, curation, governance, and consumption layers.
• Strong understanding of data ingestion patterns, data quality controls, reconciliation frameworks, and operational monitoring.
• Experience designing solutions for SaaS, API, and file-based source integrations, including schema evolution and incremental processing.
• Expertise in data governance, security, lineage, and sensitive financial or employee data handling.
• Experience leading SIT, UAT, production deployment, cutover, and hypercare activities for enterprise data programs.
• Experience reverse engineering legacy data warehouses, analytical platforms, semantic layers, and reporting solutions to support modernization and migration initiatives

Nice to Have

• Databricks certifications (Professional / Architect level)
• Azure Solutions Architect Expert certification