Data Analytics Architect

Company : Aivar Innovations

Job Type : Full Time

Coimbatore, India

Number of Applicants

:

000+

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Job Description - Data Analytics Architect

Job Title: Data Analytics Architect

Experience: 8 years

Location: Coimbatore, Tamilnadu

Open Positions : 1

About Aivar Innovations

Aivar is an AI -first technology partner where cutting -edge technology meets industry expertise to supercharge your projects. Our AI -augmented teams accelerate development, reduce time -to -market, and deliver exceptional code quality. We bring together the best minds in tech to craft scalable, repeatable solutions that drive real momentum for your business.

Role overview
Aivar Innovations is seeking a Data Analytics Architect with 6+ years of experience to design and scale modern analytics platforms that power AI and

decision‑making for global customers. This role owns end‑to‑end architecture from data ingestion to BI, self‑service analytics, and ML‑ready data products.

Key responsibilities

Lead discovery with business and technical stakeholders to translate analytics and reporting needs into target data/analytics architectures and
roadmaps.
Design and govern data platforms (lakes, warehouses, lake -house) supporting batch and streaming workloads for BI, advanced analytics, and ML.
Define canonical data models, semantic layers, and data products that enable consistent KPIs and self‑service analytics across the organization.
Oversee data integration and ETL/ELT pipelines from diverse source systems, ensuring data quality, lineage, and reliable SLAs.
Partner with data engineers, BI developers, and data scientists to deliver scalable analytic solutions and ML‑ready datasets.
Implement and enforce data governance, security, and compliance standards in collaboration with security and platform teams.
Provide architectural leadership and hands‑on guidance during design and delivery; review designs, queries, and dashboards for performance and best practices.

Requirements

Required Skills:

Strong expertise in data modeling and warehousing: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and
lakehouse patterns.
Hands‑on experience with at least one major cloud data stack (AWS, Azure, or GCP) and services such as S3/Data Lake, Redshift/BigQuery/
Snowflake/Synapse.
Advanced SQL skills, including query tuning, partitioning, indexing, and optimizing large‑scale analytical workloads.
Experience building batch and streaming data pipelines using tools such as Spark/Databricks, Glue/Dataflow, Kafka/Kinesis, or similar
frameworks.
Proficiency with ETL/ELT orchestration and transformation tools (e.g., Airflow, dbt, Step Functions, Data Factory) and implementing data quality
checks and lineage.
Strong understanding of BI and analytics tools (Power BI, Tableau, Looker, QuickSight, or similar) and designing semantic models and
governed datasets for them.
Working knowledge of integrating analytics platforms with ML/AI workflows (feature stores, model outputs, scoring pipelines, or
GenAI‑driven insights).
Solid grasp of data governance and security: data cataloging, classification, access control, masking, encryption, and compliance with relevant regulations.

Nice‑to‑have skills

Experience with data mesh or domain‑oriented data product architectures.
Exposure to observability for data platforms (data SLAs, freshness, drift, and pipeline health monitoring).
Familiarity with cost‑optimization techniques for cloud analytics (storage tiering, workload management, autoscaling).

Benefits

Why You’ll Love Working at Aivar

Learn from Experts: Work directly with former AWS leaders and AI pioneers.
Direct Ownership: Lead high -impact "greenfield" projects from concept to global launch.
Modern Tech: Master the latest Generative AI frameworks and cloud -native architectures.
Real -World Impact: Build mission -critical systems used by major global enterprises.
Rapid Growth: Scale your career quickly in a high -speep

Diversity and Inclusion

Aivar Innovations is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, gender identity, sexual orientation, religion, disability, age, marital status, caste, or any other protected characteristic, and we are committed to building a diverse, inclusive, and respectful workplace for everyone.

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