senior data architect

Reflection Info system

<p><b>Hiring: Senior Data Architect (Snowflake)</b></p><p><b>Location:</b> <b>Trivandrum / Kochi (Hybrid)</b><br/><b>Working Hours:</b> 12 PM &ndash; 9 PM IST (must have overlap with EST)</p><p><b>About the Role</b></p><p>We are looking for a <b>Senior Data Architect</b> with <b>10+ years of experience</b> in data engineering and architecture. The ideal candidate should have strong hands-on experience in <b>Snowflake</b>, <b>ETL</b>, and <b>large data migration</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Design and build data solutions using <b>Snowflake</b>.</li><li>Lead <b>ETL and data pipeline</b> development.</li><li>Work on <b>data extraction from SAP BW/ECC systems</b>.</li><li>Guide and mentor the data team.</li><li>Optimize database performance and follow best practices.</li><li>Collaborate with global teams during EST overlap hours.</li></ul><p><b>Must-Have Skills</b></p><ul><li><b>Snowflake</b> (hands-on experience).</li><li><b>Data Architecture</b> and <b>ETL</b> experience.</li><li><b>SQL</b>, <b>Python/Java/Scala</b>.</li><li>Experience in <b>large-scale data migration</b>.</li><li>Knowledge of <b>DataOps</b> and <b>data governance</b>.</li></ul><p><b>Good to Have</b></p><ul><li>Experience with <b>SAP BW/ECC</b> and <b>SAP ABAP</b>.</li><li>Knowledge of <b>Tableau/Power BI</b>.</li><li>Exposure to <b>AWS/Azure/GCP</b>.</li><li>Strong communication and leadership skills.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;3,000,000.00 - &#8377;3,500,000.00 per year</p><p>Work Location: In person</p>

Senior Data Architect

Blackstone

<div><div>Blackstone is the world&rsquo;s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at <div>www.blackstone.com</div>. Follow @blackstone on <div>LinkedIn</div>, <div>X</div>, and <div>Instagram</div>.</div><div></div><div>
Blackstone Technology &amp; Innovations (BXTI) is the technology team at the core of each of Blackstone&rsquo;s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies.</div><div></div><div>
BXTI is entrepreneurial &ndash; our open, iterative design processes and rapid pace of development means that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.</div><div></div><div>
The Role</div><div>
The Senior Data Architect will play a critical role in helping to shape the firm&rsquo;s data strategy and platform. This position will be responsible for the design, implementation and evolution of the enterprise data architecture to support the firm&rsquo;s most critical functions.</div><div></div><div>
The role will establish and maintain enterprise-wide standards and patterns for data access, integration, and movement, ensuring that data flows are secure, efficient, and scalable. Working closely with investment, operations, compliance, and technology teams, the Senior Data Architect will define the architectural blueprint that underpins the firm&rsquo;s analytical capabilities, data governance framework, and digital transformation initiatives.</div><div></div><div>
Success in this role requires a unique combination of high-level strategic thinking &mdash; to set the vision and roadmap for the firm&rsquo;s data ecosystem &mdash; and hands-on technical expertise to help design, build and optimize the underlying data models, pipelines and platforms. The Senior Data Architect will help build a modern, resilient, and future-ready data platform that enables the business to leverage data as a strategic asset.</div><div></div><div>
Responsibilities</div><div>
Data Architecture &amp; Strategy</div><ul><li><div>
Establishment and adoption of standards and Patterns for modeling, data infrastructure and integration.</div></li></ul><div></div><div>
Governance &amp; Compliance</div><ul><li><div>
Collaborate with Data Governance to implement data quality frameworks, ensure compliance with appropriate regulatory regimes and enable audit-ready data lineage and metadata.</div></li></ul><div></div><div>
Technology &amp; Tools</div><ul><li><div>
Optimize cloud platforms (AWS, Azure), data services (Snowflake, AWS Services) and data tooling (ETL/ELT).</div></li></ul><div></div><div>
Stakeholder Collaboration</div><ul><li><div>
Collaborate with teams across the organization. Mentor data engineers and analysts, ensuring adherence to architectural standards and present architecture roadmaps and data strategies to senior leadership.</div></li></ul><div></div><div>
Qualifications</div><ul><li><div>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Information Systems, Finance, or related field.</div></li><li><div>
10+ years in data architecture, with at least 3+ years in financial services or asset management.</div></li><li><div>
Advanced Proficiency with data platforms (Snowflake), databases (amazon rds, dynamodb) and ETL/ELT tools.</div></li><li><div>
Expertise in data modeling, metadata management, and master data management.</div></li><li><div>
Strong SQL skills and proficiency in Python for data engineering.</div></li><li><div>
Experience with BI tools (Tableau, Sigma).</div></li><li><div>
Strong problem-solving skills and attention to detail.</div></li><li><div>
Strong communication and collaboration skills to work with cross-functional teams.</div></li></ul><div></div><div><br>
The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.</div><div></div><div>
Expected annual base salary range:</div><div></div>
$220,000 - $250,000<div></div><div>
Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.<br>
<br>
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone&rsquo;s sole discretion.</div><div></div><div>
Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.</div><div></div><div>
If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).</div><div></div><div>
Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:</div><div></div><ul><li><div>
Attending client meetings where you are discussing Blackstone products and/or and client questions;</div></li><li><div>
Marketing Blackstone funds to new or existing clients;</div></li><li><div>
Supervising or training securities licensed employees;</div></li><li><div>
Structuring or creating Blackstone funds/products; and</div></li><li><div>
Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.</div></li></ul><div></div><div>
Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.<br>
<br>
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered &quot;prefer not to say&quot;). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.</div></div><div></div>

Senior Data Architect, SVP – DCDX

Acenet consulting

<div><div><b>Experience:</b> 7 to 13 years
<br>
<b>Location:</b> Abu Dhabi
<br>
<b>Job code:</b> 101347
<br>
<b>Posted on:</b> Oct 08, 2025<br>
</div><br>
<p>About Us:<br>
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.<br>
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.</p>
<p>Job Summary:<br>
We are seeking a highly experienced and strategic Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. This critical role will be responsible for defining the architecture roadmap and making key decisions regarding the modernization of the data landscape, specifically managing the transition from legacy systems to a unified, high-performance platform centered around Data Warehouse, Data Lake, Data Security and Master Data Management (MDM) services. The ideal candidate possesses deep technical expertise, a strategic mindset, and a proven ability to govern complex data environments to enable advanced Enterprise Data Analytics.</p>
<div>Key Responsibilities:<br>
<ul><li>Strategic Architecture &amp; Decision Making, Design &amp; Strategy: Define the conceptual, logical, and physical data architecture blueprint, making critical decisions on technology selection, integration patterns, and data flow to align with business strategy.</li><li>Modernization Roadmapping: Lead the planning and execution of the data migration strategy from existing legacy systems to new, standard enterprise platforms.</li><li>Data Platform Management: Define the target state architecture for core data assets, including the optimal deployment, management, and interaction between the Data Warehouse and the Data Lake.</li><li>Performance &amp; Scalability: Ensure the data architecture is robust, highly available, and scalable to meet current and future demands of high-volume data ingestion and complex analytical queries.</li><li>Data Governance &amp; Master Data Management (MDM), MDM Implementation: Own the Master Data Management strategy and architecture, ensuring the accurate definition, governance, and synchronization of critical enterprise data (Customer, Product, Location, etc.) across all new systems.</li><li>Data Security &amp; Compliance: Architect and enforce security and access control policies (e.g., encryption, masking, role-based access) across all data layers, particularly for sensitive data originating from systems like EMR (HIPAA/PHI) and Cybersecurity.</li><li>Data Quality &amp; Lineage: Establish and enforce enterprise data quality standards, metadata management, and data lineage tracking to ensure data trust and regulatory compliance.</li><li>Enterprise Data Analytics &amp; Business Enablement, Analytics Blueprint: Design the data models (dimensional, normalized, Data Vault) within the Data Warehouse and Data Lake to optimize data access for advanced Enterprise Data Analytics, Business Intelligence (BI), and Machine Learning (ML) use cases.</li><li>Integration: Define robust ETL/ELT strategies and pipelines to efficiently ingest, transform, and load data from diverse operational sources into the analytical platforms.</li><li>Stakeholder Alignment: Collaborate with business leaders, data scientists, and analysts to translate complex business requirements into tangible, high-value data architecture solutions.</li></ul></div>
<div>Role Requirements and Qualifications:<br>
<ul><li>7+ years of progressive experience in Data Architecture, with at least 3 years in a senior, decision-making capacity for an enterprise-level data platform.</li><li>Experience with Data Governance tools (e.g., Collibra, Informatica Axon) or Data Catalogs.</li><li>Extensive experience with Data Warehouse management and design, including performance tuning and large-scale deployment.</li><li>Mandatory experience designing and managing Data Lake services and architectures (e.g., using major cloud providers like AWS, Azure, OCI or GCP).</li><li>Deep, hands-on expertise in Master Data Management (MDM) principles and technologies, including experience selecting and implementing an MDM solution.</li><li>Proven track record of success in leading large-scale system migration or data integration projects, specifically moving from older, disparate systems to standard ERP/CRM/Clinical systems.</li><li>Expert knowledge of data modeling techniques (Conceptual, Logical, Physical), SQL, NoSQL, and modern data streaming/processing frameworks.</li><li>Strong understanding of security frameworks and regulatory compliance requirements relevant to data (e.g., HIPAA, GDPR, CCPA).</li><li>Excellent communication, negotiation, and presentation skills, with the ability to articulate complex architectural concepts to both technical teams and C-level stakeholders.</li><li>Direct experience integrating data from Oracle Fusion, MS Dynamics, and Clinical systems.</li><li>Experience working in healthcare IT industry.</li><li>Certifications such as TOGAF, CDMP, or specialized cloud data certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer)</li></ul></div>
<div>Why Join Us:<br>
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
<p>How to Apply:<br>
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</p></div>

Senior Data Architect (Enterprise Modernization & Analytics)

GE HealthCare

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
We are seeking an experienced Data Architect to design and develop a scalable, secure, and efficient data platform. The Data Architect will be responsible for designing and implementing the data architecture platform, will work on multiple Data &amp; Information projects in GE HealthCare as a project leader or internal consultant. The successful candidate will have a strong background in cloud computing, software architecture and implementation with a passion for technology innovation and cross functional collaboration.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
Roles and Responsibilities</b></p><p></p><div><div><div><ul><li><b>
Design and Architect Data Systems:</b> Design and structure all data systems, including databases, warehouses, and lakes, focusing on security, scalability, and long-term strategy.</li><li><b>
Develop Data Models:</b> Create and maintain logical and physical data models that translate complex business requirements into technical data specifications.</li><li><b>
Implement and Optimize Data Pipelines:</b> Design, develop, and implement ETL/ELT processes, ensuring efficient and scalable data flow from various sources.</li><li><b>
Conduct Hands-on Code Reviews:</b> Perform detailed code reviews for data-related projects, ensuring code quality, architectural integrity, and adherence to best practices.</li><li><b>
Oversee Self-Serve Data Platforms:</b> Design, build, and oversee the creation of self-serve data platforms, empowering domain teams to manage their data products autonomously.</li><li><b>
Drive Data Governance and Quality:</b> Define and enforce data governance standards, ensuring data quality, security, and compliance with regulations like HIPAA.</li><li><b>
Optimize Performance and Costs:</b> Continuously mature and optimize the existing data architecture for better performance, cost-efficiency, and reusability.</li><li><b>
Evaluate and Recommend Technology:</b> Research and recommend emerging data technologies and analytical methods to support the organization's needs and stay current with industry trends.</li><li><b>
Provide Technical Leadership:</b> Offer expert guidance and mentorship to development teams, leading through technical challenges and promoting a culture of innovation.</li><li><b>
Communicate and Collaborate:</b> Effectively translate technical strategies for non-technical stakeholders, align data solutions with business needs, and influence senior leadership.</li></ul></div></div></div><p><b><br>
Education Qualification</b></p><ul><li>
Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) with advanced experience.</li></ul><p></p><div><b>
Experience</b></div><ul><li>
Candidates generally need 10+ years of professional experience in software development and data architecture.</li><li>
Extensive experience, often 4 or more years, with AWS or similar cloud technologies, particularly in designing scalable cloud solutions, is necessary.</li><li>
Strong hands-on experience with databases, big data technologies, and building reliable, large-scale data platforms is expected.</li><li>
Experience modernizing legacy data architectures for cloud and AI workloads is also valuable.</li><li>
Demonstrable experience with hands-on coding (Python, SQL, PySpark) for designing, implementing, and optimizing data architecture and pipelines.</li><li>
Proven experience in performing detailed code reviews and enforcing best practices in a data engineering context.</li></ul><div><b>
Skills</b></div><ul><li>
Required technical skills include proficiency in Python and SQL, strong knowledge of relevant AWS services like MSK, EMR, Glue, Lambda, and Redshift, expertise in real-time data streaming with Kafka and Spark, and in-depth knowledge of data modeling, lineage, cataloguing, and metadata management.
</li><li>Essential soft skills include excellent communication, strong leadership, strategic thinking, and analytical problem-solving abilities. Familiarity with Agile development methodology is also beneficial.</li></ul><div></div><div><b>
Preferred qualifications</b></div><ul><li>
A master's degree in a relevant field like Computer Science or Information Systems is preferred.</li><li>
Additional technical knowledge in processing unstructured data using advanced techniques like multi-modal LLMs, experience with information retrieval or content management systems, and experience with multi-modal AI architectures are highly desirable.</li><li>
Specific industry experience, such as information security assessments for cloud products in the healthcare sector, is a plus.</li><li>
AWS certifications, especially the AWS Solution Architect certification, are preferred.</li><li>
The ability to consult with customers to align technical solutions with enterprise outcomes is also valued.</li></ul><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>No</p></div></div></div></div></div></div></div></div><p></p>

Senior Staff Data Architect

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Not Applicable
<p></p><p><b>Specialism
</b></p>Data, Analytics &amp; AI
<p></p><p><b>Management Level
</b></p>Senior Associate
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
<p></p><p>*Why PWC
</p><p>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
</p><p>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. &quot;
</p><p></p><p>Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
</p><p></p><p>Responsibilities:
</p><p>About the Role: We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms. If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you. What you will do: &middot; Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments &middot; Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses &middot; Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows &middot; Create and maintain data models in Databricks, ensuring data quality and consistency &middot; Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency &middot; Implement data governance and security best practices in cloud environments &middot; Collaborate across teams to translate business requirements into robust technical solutions
</p><p>Mandatory skill sets:
</p><p>&lsquo;Must have&rsquo; knowledge, skills and experiences &middot; 5+ years of hands-on experience in Data Engineering &middot; Strong command over SQL, Python, and PySpark for data manipulation and analysis &middot; Deep experience with data warehousing concepts and implementation in cloud environments (Azure/AWS) &middot; Proficiency in data modeling techniques for cloud-based systems (Databricks, Snowflake) &middot; Solid understanding of ETL/ELT processes and best practices in cloud architectures &middot; Experience with dimensional modeling, star schemas, and data mart design &middot; Strong analytical thinking and problem-solving skills
</p><p>Preferred skill sets:
</p><p>&lsquo;Good to have&rsquo; knowledge, skills and experiences &middot; Familiarity with data lake architectures and delta lake concepts &middot; Familiarity with Snowflake/Databricks Data Warehouse &middot; Knowledge of data warehouse migration strategies to cloud &middot; Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs)
</p><p>&middot; Exposure to data quality and data governance tools and methodologies &middot; Understanding of data virtualization and federated query engines &middot; Understanding of performance optimization techniques for cloud-based data warehouses &middot; Apache Airflow &ndash; Workflow orchestration and scheduling &middot; Certifications in Azure or AWS or Databricks
</p><p>Years of experience required:
</p><p>Experience &middot; 5-8 years
</p><p>Education qualification:
</p><p>o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
</p><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering, Master of Engineering
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p>Database Architecture
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

IN_Senior Associate_Data Architect_D&A_Advisory_Bangalore

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Not Applicable
<p></p><p><b>Specialism
</b></p>Data, Analytics &amp; AI
<p></p><p><b>Management Level
</b></p>Senior Associate
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
<p></p><p>Why PWC
</p><p>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
</p><p>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
</p><p></p><p>Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
</p><p></p><p>Responsibilities:
</p><p>About the Role: We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms. If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you. What you will do: &middot; Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments &middot; Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses &middot; Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows &middot; Create and maintain data models in Databricks, ensuring data quality and consistency &middot; Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency &middot; Implement data governance and security best practices in cloud environments &middot; Collaborate across teams to translate business requirements into robust technical solutions
</p><p></p><p>Mandatory skill sets:
</p><p>&lsquo;Must have&rsquo; knowledge, skills and experiences &middot; 5+ years of hands-on experience in Data Engineering &middot; Strong command over SQL, Python, and PySpark for data manipulation and analysis &middot; Deep experience with data warehousing concepts and implementation in cloud environments (Azure/AWS) &middot; Proficiency in data modeling techniques for cloud-based systems (Databricks, Snowflake) &middot; Solid understanding of ETL/ELT processes and best practices in cloud architectures &middot; Experience with dimensional modeling, star schemas, and data mart design &middot; Strong analytical thinking and problem-solving skills
</p><p></p><p>Preferred skill sets:
</p><p>&lsquo;Good to have&rsquo; knowledge, skills and experiences &middot; Familiarity with data lake architectures and delta lake concepts &middot; Familiarity with Snowflake/Databricks Data Warehouse &middot; Knowledge of data warehouse migration strategies to cloud &middot; Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs)
</p><p>&middot; Exposure to data quality and data governance tools and methodologies &middot; Understanding of data virtualization and federated query engines &middot; Understanding of performance optimization techniques for cloud-based data warehouses &middot; Apache Airflow &ndash; Workflow orchestration and scheduling &middot; Certifications in Azure or AWS or Databricks
</p><p></p><p>Years of experience required:
</p><p>Experience &middot; 5-8 years
</p><p></p><p>Education qualification:
</p><p>o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
</p><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of Engineering
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p>Data Architecture
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

IN_Senior Associate_Data Architect_Data and Analytics_Advisory_Bangalore

Ernst & Young AE

<p><b>Job Title: Director</b></p>
<p><strong>Department:</strong> FaaS - Digital Finance - Data &amp; AI</p>
<p><strong>Reports To:</strong> Partner Data &amp; AI Practice</p><p><br></p><p>Po<b>sition Summary</b></p><p><br></p><p>&nbsp;</p><p><br></p><p>We are seeking a highly experienced Senior Data Architect to lead the design and implementation of enterprise-wide data architectures, driving our clients' digital and AI transformation initiatives. Based in Dubai, you will work with C-suite leaders and technical teams to architect scalable, secure, and business-aligned data ecosystems across industries including government, financial services, energy, and retail.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><p><br></p><p>&nbsp;</p><p><br></p><p>Lead Data Architecture Strategy:</p><p>Define enterprise and solution-level data architecture strategies.</p><p>Design modern data platforms (data lakes, warehouses, lakehouses) on cloud (Azure, AWS, GCP).</p><p>Champion data mesh, data fabric, or other advanced architectural patterns.</p><p>Engage with Business &amp; Technology Stakeholders:</p><p>Collaborate with business units to understand their data needs and translate them into technical solutions.</p><p>Support data governance, security, lineage, and catalog initiatives in partnership with Data Officers and CDOs.</p><p>Architecture Delivery &amp; Oversight:</p><p>Guide design of scalable data pipelines (batch/real-time), master data management, and analytics layers.</p><p>Oversee data platform modernization and cloud migration programs.</p><p>Provide architectural governance and quality assurance throughout project lifecycle.</p><p>Team Leadership &amp; Capability Building:</p><p>Mentor and manage a team of data engineers and solution architects.</p><p>Contribute to internal knowledge assets, accelerators, and reusable frameworks.</p><p>Client Engagement &amp; Business Development:</p><p>Support pre-sales and proposal activities by shaping data architecture solutions.</p><p>Build trusted relationships with client executives and technology teams.</p><p><b>Required Qualifications</b></p><p><br></p><p>&nbsp;</p><p><br></p><p>Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or related field.</p><p>12+ years of experience in data architecture, data engineering, or information management.</p><p>Proven experience with:</p><p>Cloud-native data platforms (e.g., Azure Synapse, Databricks, Snowflake, BigQuery)</p><p>ETL/ELT tools (e.g., Informatica, Talend, dbt)</p><p>Data governance tools (e.g., Collibra, Alation, Purview)</p><p>Big data and streaming technologies (e.g., Kafka, Spark)</p><p>Strong knowledge of data modeling, API management, security/privacy frameworks (e.g., GDPR, NDMO).</p><p>Experience in leading multi-disciplinary teams in complex consulting or enterprise environments.</p><p>Excellent communication and presentation skills with the ability to engage senior stakeholders.</p><p><b>Preferred Qualifications</b></p><p><br></p><p>&nbsp;</p><p><br></p><p>Certifications in cloud (Azure, AWS, or GCP) architecture or data engineering.</p><p>Experience working in the GCC region with clients in public sector, banking, or oil &amp; gas.</p><p>Familiarity with AI/ML lifecycle and integration of data platforms with analytics/ML pipelines.</p>

Director - Digital FAAS

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