We are looking for an experienced Lead Data Architect to join our team and drive the architecture, design, and implementation of our data platforms. The ideal candidate will have extensive experience with data warehouse technologies, including Teradata, Oracle, Databricks and Snowflake, as well as expertise in big data platforms like Hadoop. You will be responsible for leading the design and development of scalable data solutions that support our organization s strategic goals. Key Responsibilities: Lead the development and implementation of data architecture strategies that align with business objectives. Design and oversee the architecture of enterprise data warehouses, data lakes, and big data platforms. Establish best practices and standards for data modeling, integration, and management. Data Architecture and Strategy Education: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Experience: 15+ years of experience in data architecture, data warehousing, and big data solutions. Extensive experience with data warehouse platforms such as Teradata and Oracle. Deep understanding and hands-on experience with big data technologies like Hadoop, HDFS, Hive, and Spark. Proven track record of designing and implementing large-scale data architectures in complex environments. Skills: Strong expertise in data modeling, data integration (ETL/ELT), and database design. Proficiency in SQL, PL/SQL, and performance tuning in Teradata, Oracle, and other databases. Familiarity with cloud data platforms and services is a plus (e.g., AWS Redshift, Google BigQuery, Azure Synapse). Experience with data governance, security, and compliance best practices. Excellent problem-solving, analytical, and critical-thinking skills. Strong leadership, communication, and collaboration abilities. Preferred Qualifications: Experience with additional big data and NoSQL technologies (e.g., Cassandra, MongoDB). Familiarity with data visualization and BI tools (e.g., Tableau, Power BI). Experience with cloud-based data architectures and hybrid data environments. Certifications in data architecture, data warehousing, or related areas. Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law.

We are seeking an experienced Cloud Data Engineer with a strong background in AWS, Azure, and GCP. The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica, SAP Data Intelligence, etc. You will be responsible for designing, implementing, and maintaining robust data pipelines and building scalable data lakes. Experience with various data platforms like Redshift, Snowflake, Databricks, Synapse, Snowflake and others is essential. Familiarity with data extraction from SAP or ERP systems is a plus. Key Responsibilities: Design and Development: Design, develop, and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.). Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP). Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery and Azure Synapse. Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others. Develop and optimize data processing jobs using Spark Scala. Data Integration and Management: Integrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake. Ensure data quality and integrity through rigorous testing and validation. Perform data extraction from SAP or ERP systems when necessary. Performance Optimization: Monitor and optimize the performance of data pipelines and ETL processes. Implement best practices for data management, including data governance, security, and compliance. Collaboration and Communication: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Collaborate with cross-functional teams to design and implement data solutions that meet business needs. Documentation and Maintenance: Document technical solutions, processes, and workflows. Maintain and troubleshoot existing ETL pipelines and data integrations. Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus. Experience: 7+ years of experience as a Data Engineer or in a similar role. Proven experience with cloud platforms: AWS, Azure, and GCP. Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc. Experience with other ETL tools like Informatica, SAP Data Intelligence, etc. Experience in building and managing data lakes and data warehouses. Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse. Experience with data extraction from SAP or ERP systems is a plus. Strong experience with Spark and Scala for data processing. Skills: Strong programming skills in Python, Java, or Scala. Proficient in SQL and query optimization techniques. Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts. Knowledge of data governance, security, and compliance best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with other data tools and technologies such as Apache Spark, or Hadoop. Certifications in cloud platforms (AWS Certified Data Analytics - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate). Experience with CI/CD pipelines and DevOps practices for data engineering Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law.

About the Role: Bright Tier Solutions is seeking an experienced Security Architect to join our team on behalf of our esteemed US client. In this role, you will be responsible for developing architectural designs and leading the implementation of security infrastructure in both on-premises and Microsoft Azure environments. You will collaborate closely with the global Information Security team to implement technical controls that align with security policies. This position is ideal for Enterprise, Solution, or Network Architects with a deep understanding of security who are eager to make a significant impact. This role requires working in-office for 5 days a week, with locations in Gurgaon (preferred) or Bengaluru. Additionally, periodic travel (up to 20%) to client offices within India may be required based on project needs. We are looking for dynamic professionals ready to contribute to our mission of delivering world-class security solutions while collaborating with multi-cultural teams across different time zones. Responsibilities: Collaborate with Information Security and IT Leadership to define the security roadmap and drive strategic initiatives. Design, engineer, and implement security solutions that adhere to a defense-in-depth strategy while meeting business requirements and processes. Periodically review existing security solutions to identify opportunities for improvement, enhancing security capabilities and adding value to the enterprise. Assist in designing security elements for on-premises compute, storage, and network infrastructure services. Contribute to the design of security elements for cloud infrastructure and platform services within Microsoft Azure. Work with the Information Security department to design technical security controls that enforce security policies. Support project managers during project planning and execution phases, creating comprehensive documentation for handover to operations teams. Provide regular updates on project tasks and non-project assignments. Support the Security Operations team in investigating major security incidents. Deliver Level 4 (L4) technical support for escalated major incidents and security incidents to restore production services. Stay current on emerging threats, security trends, and risk mitigation strategies, providing recommendations to the Security Operations team as needed. Create detailed Technical Design Documents and other required documentation. Train Security Operations team members on new security solutions relevant to their roles. Collaborate effectively with multi-cultural teams across different time zones. Qualifications: Bachelors degree in information systems or equivalent experience. 10+ years of experience working in an enterprise IT environment. 3+ years of experience architecting and designing security solutions in on-premises enterprise environments that provide technical controls to meet security policy requirements. Proven experience securing Microsoft Azure cloud infrastructure and platform services. (Candidates with exclusive AWS experience will not be considered.) Experience with log analytics solutions such as Splunk or Azure Log Analytics. Expertise in securing enterprise and globally distributed networks, including firewalls, IDS/IPS, DDoS protections, encryption tools/protocols, and privilege access management systems. Familiarity with vulnerability management systems such as Rapid7 or Nessus. Knowledge of data in-transit and data-at-rest encryption solutions and key management solutions. Understanding of advanced endpoint protection solutions for zero-day defense against threats. Strong consultative and problem-solving skills at a cross-functional level. Ability to quickly learn, self-start, and work both independently and as part of a team. Excellent verbal and written communication skills. Current security certifications (e.g., CISSP, CISM, CCSP) are highly desired. Location & Travel Requirements: Primary Location: Gurgaon (Preferred) or Bengaluru, India - 5 Days in Office Required. Travel Requirements: Up to 20% travel may be required, primarily to client offices within India, depending on project needs.