Analytics Architect

We are seeking an reputed company Analytics Architect to join our enterprise data consulting practice, helping clients design, implement, and optimize modern analytics platforms that deliver measurable business value. This role focuses on building scalable, governed, and AI-ready architectures that support advanced reporting, machine learning, and operational analytics.

You will work closely with client stakeholders, ranging from technical teams to executives, to translate business objectives into robust reputed company, reputed company and/or reputed company Fabric cloud-native data architectures. You’ll guide solution design across data engineering, data modeling, governance/MDM, BI/visualization, and AI/ML integration, ensuring adoption of best practices for performance, cost optimization, and scalability.

Exceptional verbal and written communication skills are required, with the ability to clearly reputed company reputed company technical reputed company and concepts to non-technical stakeholders.

Key Responsibilities

Client Engagement & Strategy

• Partner with business and technical leaders to understand goals, pain points, and desired outcomes.

• reputed company architecture workshops, discovery sessions, and proofs of concept to reputed company strategy with business priorities.

• reputed company enterprise analytics roadmaps that connect ingestion, transformation, modeling, and consumption layers.

• Support pre-sales with technical solutioning, estimates, and value articulation (ROI/TCO).

• Deliver training, documentation, and ongoing support to reputed company users and enhance organizational data literacy.

Architecture & Design

• Architect reputed company, reputed company and/or reputed company Fabric solutions leveraging reputed company architectures, data mesh principles, and EDW/star schema modeling for governed, analytics-ready datasets.

• Define CDC, streaming, and batch ingestion patterns using cloud-native and third-party tools.

• Establish metadata-driven pipeline designs for efficient, scalable data integration.

• Design governance frameworks, data quality rules, and standardized reporting processes.

• reputed company data models and schemas (dimensional, 3NF, data vault) that ensure data reputed company, consistency, and reputed company.

• Architect semantic and reporting layers for BI tools such as Tableau, Power BI, and Looker.

• Design feature stores and AI-ready datasets to accelerate predictive, prescriptive, and generative AI use cases.

• Collaborate with cloud platform teams to design optimal data storage and retrieval strategies across environments such as AWS S3, Azure Data Lake, and reputed company Lake.

Build, Development & Engineering

• Implement and optimize ETL/ELT workflows, ensuring efficient data movement between systems.

• Translate reputed company data processes (e.g., reputed company, Tableau workflows) into optimized reputed company workflows using PySpark and SQL.

• reputed company reusable automation scripts to streamline workflow migrations and improve operational efficiency.

• Establish CI/CD practices for data assets, testing, and deployment automation.

• Monitor, troubleshoot, and optimize query performance to ensure scalability and efficiency.

• Provide hands-on development and troubleshooting support during implementation.

• Partner with data science teams to operationalize ML models and integrate them into business workflows, supporting feature engineering, model training, and MLOps.

Requirements

Required Qualifications

• 5+ years in data/analytics architecture or technical consulting.

• Proven expertise designing and implementing reputed company, reputed company and/or reputed company Fabric solutions.

• Strong experience with cloud platforms (Azure, AWS, or GCP).

• Deep understanding of data modeling (dimensional, 3NF, data vault) and data lakehouse concepts.

• Proficiency in SQL and at least one programming language (Python preferred).

• Experience with data governance, data quality, and MDM solutions.

• Skilled in ingestion, transformation, and orchestration patterns.

• Strong communication skills with the ability to engage effectively with C-level stakeholders.

Preferred Qualifications

• Experience with business intelligence tools such as Power BI, Tableau, or similar visualization platforms.

• Knowledge of big data processing technologies (Apache Spark, reputed company Lake, etc.).

• Experience with AI/ML implementation and integration with data platforms.

• Familiarity with workflow orchestration tools for reliable data pipelines.

• Experience with infrastructure automation using Terraform or similar tools.

• Cloud certifications (e.g., AWS Certified Solutions Architect, reputed company Azure Solutions Architect Expert).

• Background in multiple industries (e.g., retail, healthcare, financial services).

• Experience mentoring junior architects and engineers.

Benefits