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Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp
Visa
Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Sep 21, 2026. Altimetrik scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Altimetrik is a digital and AI engineering services company headquartered in Southfield, Michigan, that builds software, data, cloud and AI systems for large enterprises in banking, insurance, automotive, healthcare, retail and technology. Founded in 2012 by Raj Vattikuti, the founder of Covansys, it employs between 5,000 and 10,000 people, with major delivery centers in Chennai, Bengaluru, Pune and Hyderabad and further offices in Krakow, Mexico City, Montevideo, Singapore, Canada and the US. It hires data, AI and generative AI engineers, Java, .NET and full stack developers, DevSecOps, cybersecurity and Salesforce engineers, architects and engineering managers.

Experience: 8-10 years each

Location: Bengaluru, India | Employment Type: Full-time

About the Role

As a Staff Engineer in Data and AI at Client, you will set the technical standard for data pipeline and AI platform engineering - driving architecture decisions, mentoring engineers, and delivering complex platform capabilities during a period of active platform transition.

ClientData Environment

SQL Server CDC → Confluent/RedPanda→ Redshift (Bronze/Silver/Gold) via DBT. EC2, DynamoDB, AWS Bedrock. Snowflake retiring. ~90% internal data.

Key Responsibilities

  • Design and deliver complex data pipelines across Redshift, MSK/RedPanda, DBT, and S3

  • Define engineering standards and best practices for the Data and AI platform team

    • Lead technical design for AI/ML infrastructure - including AWS Bedrock integrations and Claude-based workflows

    • Drive ingestion standardisationand canonicalID resolution as a platform-wide initiative

    • Collaborate with ML Engineers on data infrastructure for model training and inference pipelines

    • Implement data quality controls and observability across pipelines (Coralogix, Grafana)

    • Contribute to PCI DSS-compliant data handling: PAN masking, PII controls, TonicAIintegration

    • Mentor Lead and Senior Engineers within the team

      Required Skills & Experience

    • 8-10 years in data engineering or AI platform engineering

    • Expert-level experience with AWS data services: EKS, ECS, Lambda, S3, EC2

    • Strong hands-on experience with Redshift and medallion/Bronze-Silver-Gold architecture

    • Proficiencywith DBT for data transformation at scale

    • Experience with SQL Server CDC-based ingestion pipelines

    • Familiarity with event streaming platforms: Confluent, RedPanda, or Kafka

    • Experience building ML-ready data pipelines and feature engineering infrastructure

    • Familiarity with AWS Bedrock and GenAI pipeline patterns

    • Strong understanding of PCI DSS data handling requirements

    • Demonstrated ability to set technical direction and mentor engineers

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