Technical Architect- (Data Architect) Job in
- Simpplr Software India
- 8 to 12 Yrs
- Other Haryana
- 10 months ago
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Job Description
- Who We Are Simpplr is Modern Intranet and EX unified. Our platform unifies employee engagement, enablement, and services, leveraging state-of-the-art AI models to deliver a seamless, cohesive, and personalized employee experience for everyone - wherever and however they work. Our mission is to transform the work experience for billions of people across the world. Because we believe that when work is good, life is better. Trusted by more than 1,000+ leading brands, including DocuSign, Penske, Splunk, Nutanix, Okta, Eurostar, and SoFi, our customers are achieving measurable improvements in employee engagement, productivity, and accelerated business performance. Simpplr is headquartered in Silicon Valley, CA with offices in the UK, Canada, and India, and is backed by Sapphire Ventures, Norwest Venture Partners, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com. Job Title: Technical Architect - Analytics Location: Gurgaon Or Bangalore - Hybrid India Employment Type: Full-Time The opportunity We are looking for a hands-on Technical Architect Analytics who will be responsible for designing, developing, and optimizing our data and analytics architecture. You will play a critical role in defining the data strategy, designing scalable data pipelines, and implementing best practices for real-time and batch analytics solutions. This role requires a strong technical leader who is passionate about data engineering, analytics, and driving data-driven decision-making across the organization. Key Responsibilities Data Architecture & Design: Define and own the architecture for data processing, analytics, and reporting systems, ensuring scalability, reliability, and performance. Data Engineering: Design and implement highly efficient, scalable, and reliable data pipelines for structured and unstructured data. Big Data & Real-Time Analytics: Architect and optimize data processing workflows for batch, real-time, and streaming analytics. Cross-Functional Collaboration: Work closely with Product Managers, Data Scientists, Analysts, and Software Engineers to translate business requirements into scalable data architectures. Technology & Best Practices: Stay ahead of industry trends, introduce modern data technologies, and drive best practices in data architecture, governance, and security. Code Reviews & Mentorship: Review code, enforce data engineering best practices, and mentor engineers to build a high-performance analytics team. Data Governance & Compliance: Ensure data security, integrity, and compliance with regulations (GDPR, CCPA, etc.). Optimization & Performance Tuning: Identify performance bottlenecks in data pipelines and analytics workloads, optimizing for cost, speed, and efficiency. Cloud & Infrastructure: Lead cloud-based data platform initiatives, ensuring high availability, fault tolerance, and cost optimization. What Makes You a Great Fit for Us Experience: 8+ years of experience in data architecture, analytics, and big data processing. Proven Track Record: Experience designing and implementing end-to-end data platforms for high-scale applications. Strong Data Engineering Background: Expertise in ETL/ELT pipelines, data modeling, data warehousing, and stream processing. Analytics & Reporting Expertise: Experience working with BI tools, data visualization, and reporting platforms. Deep Knowledge of Modern Data Technologies: Big Data & Analytics: Spark, Kafka, Hadoop, Druid, ClickHouse, Presto, Snowflake, Redshift, BigQuery. Databases: PostgreSQL, MongoDB, Cassandra, ElasticSearch. Cloud Platforms: AWS, GCP, Azure (experience with cloud data warehouses like AWS Redshift, Snowflake is a plus). Programming & Scripting: Python, SQL, Java, Scala. Microservices & Event-Driven Architecture: Understanding of real-time event processing architectures. Strategic Thinking: Ability to design and implement long-term data strategies aligned with business goals. Problem-Solving & Optimization: Strong analytical skills with a deep understanding of performance tuning for large-scale data systems. Visionary Leadership: Ability to think strategically and drive engineering excellence within the team. Communication Skills: Strong interpersonal and communication skills to collaborate effectively across teams. Attention to Detail: An eye for detail with the ability to translate ideas into tangible, impactful outcomes. Agility: Comfortable managing and delivering work in a fast-paced, dynamic environment. Preferred Skills (Good To Have) Hands-on experience with AWS Public Cloud. Experience with Machine Learning Pipelines and AI-driven analytics. Hands-on experience with Kubernetes, Terraform, and Infrastructure-as-Code (IaC) for data platforms. Certifications in AWS Data Analytics, Google Professional Data Engineer, or equivalent. Experience with data security, encryption, and access control mechanisms. Experience in Event/Data Streaming platforms Experience in risk management and compliance frameworks Simpplrs Hub-Hybrid-Remote Model At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.,
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Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Technical Architect- (Data Architect) Job inContact Details:
Company: SimpplrLocation(s): Other Haryana+ View Contact
Keyskills: Data Architecture Data Engineering Data Modeling Data Warehousing Stream Processing BI Tools Data Visualization Databases Strategic Thinking Communication Skills Kubernetes Data Security Encryption Risk Management Cloud Infrastructure Big Data Analytics Agility
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